New Book
Optimum
Decision Making in Asset Management
Release Date: August, 2016
Copyright: © 2017
Pages: 523
ISBN13: 9781522506515
ISBN10: 1522506519
EISBN13: 9781522506522
DOI: 10.4018/9781522506515
Asset management is becoming increasingly important to
an organization’s strategy, given its effects on cost,
production, and quality. No matter the sector, important
decisions are made based on techniques and theories that
are thought to optimize results; asset management models
and techniques could help maximize effectiveness while
reducing risk.
Optimum Decision Making in Asset Management posits that
effective decision making can be augmented by asset
management based on mathematical techniques and models.
Resolving the problems associated with minimizing
uncertainty, this publication outlines a myriad of
methodologies, procedures, case studies, and management
tools that can help any organization achieve worldclass
maintenance. This book is ideal for managers,
manufacturing engineers, programmers, academics, and
advanced management students.
Reliability
of Engineering Systems and Technological Risk
Vladimir Rykov
ISBN: 9781786300010
228 pages
August 2016,
WileyISTE
In this book three main aspects are considered together:
mathematical models for engineering systems reliability,
the main concepts for technogeneous risk study, and
insurance as methods for risks management. In the first
part the author considers some special statistical
problems concerning reliability data elaboration. The
second part
deals with the strong mathematical concept
of risks and some problems for technogeneous risks
insurance.
Queueing theory basics
(Basic course: Markov models,
markovization models):
Textbook /
Rykov V.V., Kozyrev D.V.  Moscow: INFRAM Publ.
house,
2016.  223 p.
ISBN 9785160109459
This textbook is intended for undergraduate students and
Master's students enrolled
in degree programs:
01.03.02
(01.04.02)
"Applied mathematics and informatics",
02.03.02
(02.04.02)
"Fundamental
informatics and information technologies".
02.03.01
(02.04.01)
"Mathematics and computer sciences". It can also be
useful for students in other degree programs where
courses with the same or a similar content
are given, for instance 27.03.04 "Control in technical
systems, 15.03.04
"Automation
of technological processes and production",
01.03.04
"Applied
mathematics",
09.03.03
"Applied informatics" and others. The reader is assumed
to be familiar
with the courses of probability theory and theory of
stochastic processes to the
extent they are given for students with advanced
mathematical training.
To purchase the book, please contact:
Antipenko Elena Nikolaevna
Phone: +74952801596 (station 519)
antipenko_en@infram.ru
Zhirova Elena Yurjevna
Phone: +74952801596 (station 225)
seller@infram.ru
Promoting
Sustainable Practices through Energy Engineering and
Asset Management
Vicente GonzalezPrida (University of Seville,
Spain) and Anthony
Raman (NTEC Tertiary Group, New Zealand)
Release Date: March, 2015. Copyright © 2015. 402 pages.
ISBN13: 9781466682221ISBN10: 1466682221EISBN13: 9781466682238
DOI: 10.4018/9781466682221
Green
technologies and energyefficient practices have become
two of the most prevalent issues in global society.
However, many countries still lack the technology or
resources needed to implement sustainable practices
within their societies.
Promoting Sustainable Practices through Energy
Engineering and Asset Management discusses the
challenges that the developing world faces when
implementing and utilizing environmentally friendly
techniques. This publication is a crucial reference
source for managers, scientists, technology developers,
and engineers interested in the adoption of sustainable
practices in developing countries.
For
more information see: http://www.igiglobal.com/book/promotingsustainablepracticesthroughenergy/121160
Resolution of the Twentieth Century Conundrum in Elastic
Stability
ISBN:
9789814583534 (hardcover)
ISBN: 9789814583558 (ebook)
There
have been stability theories developed for beams, plates
and shells —
the
most significant elements in mechanical, aerospace,
ocean and marine engineering. For beams and plates, the
theoretical and experimental values of buckling loads
are in close vicinity. However for thin shells, the
experimental predictions do not conform with the theory,
due to presence of small geometric imperfections that
are deviations from the ideal shape.
This
fact has been referred to in the literature as
‘embarrassing’, ‘paradoxical’ and ‘perplexing’. Indeed,
the popular adage, “In theory there is no difference
between theory and practice. In practice there is”, very
much applies to thin
shells whose experimental buckling loads may constitute
a small fraction
of
the theoretical prediction based on classical linear
theory; because in
practice, engineers use knockdown factors that are not
theoretically substantiated.
This
book presents a uniform approach that tames this primadonnalike
and capricious behavior of structures that has been
dubbed the ‘imperfection sensitivity’ — thus resolving
the conundrum that has occupied the best minds of
elastic stability throughout the twentieth century.
Nonparametric
goodnessoffit tests.
Guide on the application
B. Yu. Lemeshko
Moscow: INFRAM, 2014. – 163 p.
Publication Date: May
28, 2014
ISBN
9785160100036 (print)
ISBN
9785161016749 (online)
(znanium.com)
The book is intended for specialists facing in their
work with problems of statistical data analysis or the
need to choose the distribution model, which adequately
describes the observed random variables.
In this guide, the problems of application of
nonparametric goodnessoffit tests (Kolmogorov, Kuiper,
Cramervon MisesSmirnov, Watson, AndersonDarling,
Zhang tests) are considered for testing simple and
composite hypotheses.
The appendix contains the tables of percentage points
and the models of statistics distributions, which are
necessary for the correct application of the tests for
simple and, above all, various composite hypotheses.
Adherence to the recommendations will ensure the
correctness of statistical inference in data analysis
with the usage of nonparametric goodnessoffit tests.
The book will be useful for engineers, scientists,
specialists in various fields (doctors, biologists,
sociologists, economists, etc.), who face in their
activities with the need of the statistical analysis of
experimental results. The guide is useful for university
professors, graduate students and students.
TERNARY NETWORKS: RELIABILITY AND MONTE CARLO
by Ilya
Gertsbakh, Yoseph
Shpungin, Radislav
Vaisman
Series: Springer
Briefs in Electrical and
Computer Engineering
Paperback: 62 pages
Publisher: Springer; 2014 edition (May 31, 2014)
Language: English
ISBN10: 3319064398
ISBN13: 9783319064390
Product Dimensions: 8.9 x 5.9 x 0.4 inches
Ternary means “based on three”. This book deals with reliability
investigations of networks whose components subject to failures can be
in three states –up, down and middle (mid), contrary to traditionally
considered networks having only binary (up/down) components. Extending
binary case to ternary allows to consider more realistic and flexible
models for communication, flow and supply networks.
Traditionally, Reliability theory studies networks whose components
subject to failure (edges and/or nodes) are binary, i.e., have two
states—up and down. Typically, network DOWN state is defined as loss of
terminal connectivity or a breakup into a critical number of
components. There are two most often used tools for investigating
network reliability—Monte Carlo simulation and the socalled Dspectra
technique.
This book is devoted to the reliability analysis of ternary (or trinary)
networks, i.e., to networks whose components subject to failure have
three states: up, down and an intermediate state which we call mid. It
turns out that the Dspectra technique can be extended to the case of
components with three states. The price for this extension is
introducing a more complicated version of Dspectrum, the ternary
Dspectrum.
George Box used to cite the aphorism: ‘‘all models are wrong; some
models are useful.’’ We hope that some models presented in this book
might be useful to reliability researchers involved in network study and
design, and to reliability engineers interested in applications of the
theory to practical calculations of network reliability parameters.
Nuclear Power Plant Instrumentation and Control Systems for Safety and
Security
Michael Yastrebenetsky (State Scientific and Technical Centre for
Nuclear and Radiation Safety, Ukraine)
and
Vyacheslav Kharchenko (National Aerospace University KhAI, Ukraine and
Centre
for Safety InfrastructureOriented Research and Analysis, Ukraine)
Release Date: February, 2014. Copyright © 2014. 470 pages.
Accidents and natural disasters involving nuclear power plants such as
Chernobyl, Three Mile Island, and the recent meltdown at Fukushima are
rare, but their effects are devastating enough to warrant increased
vigilance in addressing safety concerns.
Nuclear Power Plant Instrumentation and Control Systems for Safety and
Security evaluates the risks inherent to nuclear power and methods of
preventing accidents through computer control systems and other such
emerging technologies.
Students and scholars as well as operators and designers will find
useful insight into the latest security technologies with the potential
to make the future of nuclear energy clean, safe, and reliable.
After–sales Service of Engineering Industrial Assets
A Reference Framework for Warranty Management
GonzálezPrida Díaz, Vicente, Crespo Marquez, Adolfo
2014, XXII, 318 p. 106 illus., 4 illus. in color.
This book explores the practical implementation of an advanced
aftersales management framework devoted to warranty management. The
framework is intended for companies producing either standardized or
customized products,
and such a management tool will facilitate organizational improvement
and support innovative decision making processes for technical
assistance
in aftersales services.
“After–sales Service of Engineering Industrial Assets” comprises a
proposal for a warranty management framework, with an account of the
different methods that
can be used to improve decision making in the different stages of the
aftersales service management process, and strategies for strengthening
the structure and foundations of the framework. A review of the
fundamental issues and current research topics in warranty management
and after sales services is also provided, which is exemplified by a
case study. This book is intended for postgraduates, researchers and
engineers who are interested in after sales
management, assets engineering and warranty management.
Statistical Models and Methods for Reliability and Survival Analysis
In honor of
M.S. Nikulin
Edited by
Vincent Couallier,
Bordeaux Segalen University, France
Léo GervilleRéache,
Bordeaux 2 University, France
Catherine HuberCarol,
Paris René Descartes University, France
Nikolaos Limnios,
Compiègne University of Technology, France
Mounir Mesbah,
University Pierre and Marie Curie, Paris, France
ISBN: 9781848216198
Publication Date:
November 2013 Hardback 432 pp.
Statistical Models
and Methods for Reliability and Survival Analysis brings together
contributions by specialists in statistical theory as they discuss their
applications providing uptodate developments in methods used in
survival analysis, statistical goodness of fit, stochastic processes for
system reliability, amongst others. Many of these are related to the
work of Professor M. Nikulin in statistics over the past 30 years. The
authors gather together various contributions with a broad array of
techniques and results, divided into three parts  Statistical Models
and Methods, Statistical Models and Methods in Survival Analysis, and
Reliability and Maintenance.
The book is intended for researchers interested in statistical
methodology and models useful in survival analysis, system reliability
and statistical testing for censored and noncensored data.
Robustness in Statistical Forecasting
Yuriy Kharin
Heidelberg/Dordrecht/New York/London: Springer, 2013. 356 P.
ISBN 9783319008400
DOI 10.10007/9783319008400
Traditional procedures in statistical forecasting of time series, which
are proved
to be optimal under the hypothetical model, are often not robust under
relatively small distortions (misspecification, outliers, missing
values, etc.), leading to the actual forecast risks (mean square errors
of prediction) which are much higher
than the theoretical values.
This monograph fills a gap in the literature on robustness in
statistical forecasting giving solutions to the following topical
problems:

development of mathematical models and descriptions of typical
distortions in applied forecasting problems;

evaluation
of the robustness for traditional forecasting procedures under
distortions;

obtaining of the maximal distortion levels allowing for “safe” use
of the traditional forecasting algorithms;

construction of new robust forecasting procedures to provide the
risk that is not much sensitive to definite distortion types.
The book is primarily intended for mathematicians, statisticians and
software developers in applied mathematics, computer science, data
analysis, operation research, econometrics, financial engineering and
medicine. It can also be recommended as a textbook for a onesemester
course for advanced undergraduate and postgraduate students of the
mentioned disciplines.
Recent Advances in System Reliability: Signatures, Multistate Systems
and Statistical Inference
(Springer Series in Reliability Engineering)
Anatoly Lisnianski
(Editor),
Ilia Frenkel
(Editor)
Publisher: Springer; 2012 edition (December 31, 2013)
 ISBN10: 1447126831 ISBN13: 9781447126836
Recent Advances in System Reliability
discusses developments in modern reliability theory such as signatures,
multistate systems and statistical inference. It describes the latest
achievements in these fields, and covers the application of these
achievements to reliability engineering practice.
The chapters cover a wide range of new theoretical subjects and have
been written
by leading experts in reliability theory and its applications. The
topics include:

concepts and different definitions of signatures (Dspectra), their
properties and applications to reliability of coherent systems and
networktype structures;

Lztransform of Markov stochastic process and its application to
multistate system reliability analysis;

methods for costreliability and costavailability analysis of
multistate systems;

optimal replacement and protection strategy; and

statistical inference.
Recent Advances in System Reliability
presents many examples to illustrate the theoretical results. Real world
multistate systems, such as power generation and transmission,
refrigeration, and production systems, are considered in the form
of case studies, making the book a useful resource for researchers and
postgraduate students.
For more information
http://www.springer.com/engineering/production+engineering/book/9781447122067
Applied Reliability Engineering and Risk Analysis:
Probabilistic Models and Statistical Inference
(Quality and Reliability Engineering Series)
Ilia B. Frenkel,
Alex Karagrigoriou
,
Anatoly Lisnianski
,
Andre V. Kleyner
(Editors)
Publisher: Wiley; 1 edition (November 11, 2013)

ISBN10: 1118539427 
9781118539422
This book is a collective work by a number of leading scientists,
analysts, mathematicians, and engineers who have been working on the
front end of
reliability science and engineering. This work is dedicated to the
memory of Boris Gnedenko and commemorates the 100year anniversary of
his birth. Boris Gnedenko was a remarkable mathematician and one of the
pioneers of reliability science,
thus most of the material presented in this book in some way have been
influenced by his work. More about Gnedenko and his life can be found in
the introductory chapter “Remembering Boris Gnedenko.”
All chapters in this book are written by the leading researchers and
practitioners in their respective fields of expertise
and present quite a number of innovative methods, approaches and
solutions not covered before in the literature. The amount of research
and study in these areas, which represent conventional, contemporary,
and recently emerged fields
of reliability science have been growing rapidly due to ample
opportunities to apply their results in various areas of academic
research and in industry.
Despite the large number of contributing authors, this manuscript
presents a continuous story of modern reliability engineering and shows
the recent advances in mathematical methods in reliability. This
complete resource on the theory and applications of reliability
engineering, probabilistic models and risk analysis consolidates all the
latest research, presenting the most uptodate developments in this
field.
For more information
http://eu.wiley.com/WileyCDA/WileyTitle/productCd1118539427,subjectCdST23.html
Multistate System Reliability Analysis and Optimization
for Engineers and Industrial Managers
Lisnianski, Anatoly,
Frenkel, Ilia,
Ding, Yi
Publisher: Springer; 2010 edition (August 9, 2010)

ISBN10: 1849963193
ISBN13: 9781849963190 
Multistate System Reliability Analysis and Optimization for Engineers
and Industrial Managers presents a comprehensive, uptodate description
of multistate system (MSS) reliability as a natural extension of
classical binarystate reliability. It presents all essential
theoretical achievements in the field, but is also practically oriented.
Multistate System Reliability Analysis and Optimization for Engineers
and Industrial Managers also discusses life cycle cost analysis and
practical optimal decision making for real world MSSs. Numerous examples
are included in each section in order to illustrate mathematical tools.
Besides these examples, real world MSSs (such as power generating and
transmission systems, airconditioning systems, production systems,
etc.) are considered as case studies.
Multistate System Reliability Analysis and Optimization for Engineers
and Industrial Managers also describes basic concepts of MSS, MSS
reliability measures and tools for MSS reliability assessment and
optimization. It is a
selfcontained study resource and does not require prior knowledge from
its readers, making the book attractive
for researchers as well as for practical engineers and industrial
managers.
For more information
http://www.springer.com/engineering/production+engineering/book/9781849963190
Multicriteria Decision Analysis: Methods and Software
Alessio Ishizaka, Philippe Nemery
Wiley, July 2013
ISBN: 9781119974079
This book presents an introduction to MCDA with chapters describing in
detail each of the leading methods used in this field. Comparison of
methods and software is also featured to enable readers to choose the
most appropriate method needed in their research. Case studies are
included throughout. Worked examples as well as the software featured in
the book are available on an accompanying website.
Shulenin V.P.
Mathematical
Statistics.
(Threevolume edition, in Russian) Tomsk: NTL Publishing House, 2012
Part 1. Parametric Statistics. 539 p., ISBN
97858950349327
Part 2. Nonparametric Statistics. 387 p., ISBN
9785895035023
Part 3. Robust Statistics. 518 p., ISBN
9785895035085
The threevolume textbook presents basic notions and techniques from all
three branches of modern mathematical statistics. Part one describes
classical results of theory of the parameters estimation and theory of
hypotheses testing in case of parametric models of probability
distributions (i.e., when the distribution is known up to a finite
number of parameters). Part two describes statistical procedures that
allow to obtain statistical inferences under the unknown probability
function (i.e., belonging to nonparametric class of functions); these
procedures are based on order statistics, ranks, and signs of
observations only. Part three contains descriptions of robust
statistical procedures, which keep their properties in spite of certain
discrepancies between underlying distribution and its model. All topics
are illustrated by many examples and problems, which may be used during
practical classes and in some course or diploma works. A book is
certified by Ministry of Education agency as a textbook for
students of specialties “Applied mathematics and cybernetics” and
“Informatics and information technologies”, but is of interest for all
dealing with processing experimental data of various nature. Orders may
be sent to postal address: NTL Publishers, Novosobornaya Sq., 1, 634050,
Tomsk, Russia; or via email:
physics@mail.tsu.ru
Mark P. Kaminskiy, NASA
Goddard Space Flight Center, Greenbelt, Maryland, USA
Reliability Models for Engineers and Scientists
Features

Introduces reliability models in a simple way focusing on their physical
meaning

Discusses new models not covered by other reliability and risk analysis
books

Provides a wide scope of possible applications

Includes case studies

Explores the aging/rejuvenation processes and introduces a new concept
of the Ginitype index
Summary
A
discussion of the basic reliability concepts and models, this book is
suitable for students of reliability engineering as well as for those
who wish a supplement on applied survival data analysis. The models
discussed in the book are used in reliability, risk analysis, physics of
failure, fracture mechanics, biological, pharmaceutical, and medical
studies. It is an uptodate, concise, and informative handbook on
reliability models, which does not require any special mathematical
background. It also introduces a new concept of the Ginitype index.
Igor
B. Shubinsky
FUNCTIONAL DEPENDABILITY OF INFORMATION SYSTEMS
Methods
of analysis
Editor: Patrikeeva Evgenia
Makeup: Kurtish Boris S.
Proofreading: Komarova Catherine E.
For the first time, this book presents the theory of functional
dependability of information systems as a component of the
general dependability theory. The book comprises basic
concepts and definitions, major threats for the functional
dependability of information systems, system parameters,
methods for estimating the functional dependability of digital
devices, and methods and models of estimating software
functional dependability. A separated chapter considers the
functional reliability of critical information systems, including
the concept of a critical system, features of faults, estimation
of functional reliability of operators, estimation of hazardous
failures and risks, the requirements of functional dependability
and the software architecture of critical information systems.
A checklist of the most complex and significant subjects is
provided at the end of each chapter.
The
book is primarily intended for experts who are engaged
in practical development, manufacture, operation and
updating of information technologies and information
systems. It is intended for researchers in the field of
softwarehardware of information systems, academic staff,
postgraduate students and students specializing in the field
of information technologies as well as those working in the
field of automated control systems.
Publication can be purchased through the editorial board of Journal
Dependability Ltd.
by phone 8 (495) 9677705, ext.186; 89161058131 (Patrikeeva
Evgenia)
email:
E.Patrikeeva@gismps.ru
,
www.dependability.pro
Igor
B. Shubinsky
STRUCTURAL DEPENDABILITY OF INFORMATION SYSTEMS
Methods of analysis
Editor: Patrikeeva Evgenia
Makeup: Kurtish Boris S.
Proofreading: Komarova Catherine E.
The book presents the basic concepts and parameters of the
structural dependability of information systems. It discusses
general and specific differences in dependability indices used
in domestic and international standards, along with recent
developments in approaches to dependability modeling.
Markov reliability models together with graph semiMarkov
methods for calculating reliability are described in detail and
illustrated by numerous examples. Considerable attention is
paid to the engineering methods of calculation and the
approximate prediction of structural dependability and error
estimation of information systems as well as to the statistical
assessment of dependability parameters. At the end of each
chapter there are checklists of the most complex and
significant subjects of the chapter.
The
book is intended primarily for professionals involved in
practical work on the development, production, operation
and modification of information systems. It is designed for
scientists in the field of structural dependability of various
discrete systems, academic staff and graduates (students)
specializing in information systems as well as in the field of
automated control systems.
Publication can be purchased through the editorial board of Journal
Dependability Ltd.
by phone 8 (495) 9677705, ext.186; 89161058131 (Patrikeeva
Evgenia)
email:
E.Patrikeeva@gismps.ru
,
www.dependability.pro
Gnedenko Boris Vladimirovich
MEMOIRS: MY LIFE IN MATHEMATICS
AND
MATHEMATICS IN MY LIFE
Annotation
B.V. Gnedenko (1912  1995) is an
outstanding mathematician, who contributed greatly to the development of
the field of theory of probability and its applications. His memoirs are
intertwined with the interesting and complicated events in Russia of the
19151990s and tell the exciting story of Gnedenko’s life in the midst
of both bright and terrifying realities of that period.
The memoires introduce a reader to the
details of the environment of B.V.’s generation, acquainting us with
many interesting people of that epoch and reflecting on the major
factors contributing to the development of science and education.
In Memoirs, B.V. expresses great concern
about the future of Russia, the destiny of its young generation and, in
particular, the uncertain path of educational and scientific
developments in the postSoviet era. Memoirs are supplemented by the
Gnedenko’s letters and archive materials, which add historical precision
to the narrative of the events described. Memoirs is an interesting and
useful book to those fond of Russian history and especially to those
interested in the history of science and education.
Probability
and Stochastic Modeling
Vladimir I. Rotar
Publication Date: September 6,
2012  ISBN10: 1439872066  ISBN13: 9781439872062 
Edition: 1
Discusses important stochastic
modeling topics that are not usually addressed in introductory
probability texts, including Markov chains, birthdeath processes,
and reliability models. Allows instructors to
easily construct various courses at different levels of difficulty
and with different goals. Examines modern
tendencies in probability theory, including martingales, risk
evaluation, and dependency structures. Describes numerous concrete models, such as a financial market model
and the principal components scheme, helping students better
understand general concepts and theoretical results.
Includes examples and exercises on numerical calculations
using Excel.
Solutions manual and figure slides
available with qualifying course adoption.
A First Course in
Probability with an Emphasis on Stochastic Modeling Probability and Stochastic Modeling not only covers all
the topics found in a traditional introductory
probability course, but also emphasizes stochastic
modeling, including Markov chains, birthdeath
processes, and reliability models. Unlike most
undergraduatelevel probability texts, the book also
focuses on increasingly important areas, such as
martingales, classification of dependency structures,
and risk evaluation. Numerous examples, exercises, and
models using realworld data demonstrate the practical
possibilities and restrictions of different approaches
and help students grasp general concepts and theoretical
results.
The text is suitable for
majors in mathematics and statistics as well as majors
in computer science, economics, finance, and physics.
The author offers two explicit options to teaching the
material, which is reflected in "routes" designated by
special "roadside" markers. The first route contains
basic, selfcontained material for a onesemester
course. The second provides a more complete exposition
for a twosemester course or selfstudy.
Reliability and its Quantitative Measures Authors Alexandru
IsaicManiu and IrinaMaria
Dragan,
Publisher LAP  LAMBERT Academic Publishing, Germany email: info@lappublishing.com ISBN 9783848429103
Inspired by the domain of demography, reliability theory adopted and
adapted the main indicator used there, namely the rate of mortality
which is in fact the ratio between the numbers of deceased persons at
the time and the number of survivors at the same moment. In a
reliability framework, the mortality rate became hazard or failure rate
where the “persons” (living beings) are replaced by objects (components,
subassemblies and systems). The theory of reliability deals with all
aspects of this process of failure, trying to construct formal or
mathematical models for this random phenomenon. In a broader sense, a
failure may be defined as an incident or a situation /condition that
causes for a product a process or a service an undesired status when the
intended purposes are not performed safely, secure and costeffectively.
In a synthetic form (the book has 60 pages) this book discusses some
important aspects regarding reliability.
The book is available in English.
You may find this book in the publisher catalog
https://www.lappublishing.com/catalog/details/store/gb/book/9783848429103/reliabilityanditsquantitativemeasures?search=Reliability%20and%20its%20quantitative%20measures
Price: 49.00 Euro in the Publisher’s Morebooks Shop.
On amazon.de
http://www.amazon.de/ReliabilityQuantitativeMeasuresAlexandruIsaicManiu/dp/3848429101/ref=sr_1_cc_1?s=aps&ie=UTF8&qid=1335366410&sr=11catcorr
Reliability and
Maintenance: Networks and Systems
Published: May 24, 2012 by Chapman and
Hall/CRC  344 Pages
Author(s):
Frank Beichelt, University
of Witwatersrand, Johannesburg, South Africa; Peter Tittmann, University
of Applied Sciences Mittweida, Germany
Description
Features
Discusses reliabilitytheoretic importance measures
for system components, algorithms for disjoint sum representations of
structure functions, stochastic and deterministic reliability measures
of networks, and complexity of network reliability problems
Covers inequalities and reliability bounds,
reliability analysis by network splitting via separating vertex sets,
decompositionreduction algorithms, repair cost limit replacement
policies, and general repair models
Illustrates the interdependence among network
reliability analysis, chromatics graph theory, combinatorial
enumeration, and lattice theory
Shows how to use advanced mathematical methods for
solving important problems in reliability and safety analysis
Contains many worked examples, algorithms, and
simulation techniques
Summary
Reliability and Maintenance: Networks and
Systems gives an uptodate presentation of system and network
reliability analysis as well as maintenance planning with a focus on
applicable models. Balancing theory and practice, it presents
stateoftheart research in key areas of reliability and maintenance
theory and includes numerous examples and exercises. Every chapter
starts with theoretical foundations and basic models and leads to more
sophisticated models and ongoing research.
The first part of the book introduces structural
reliability theory for binary coherent systems. Within the framework of
these systems, the second part covers network reliability analysis. The
third part presents simply structured maintenance policies that may help
with the costoptimal scheduling of preventive maintenance. Each part
can be read independently of one another.
Suitable for researchers, practitioners, and
graduate students in engineering, operations research, computer science,
and applied mathematics, this book offers a thorough guide to the
mathematical modeling of reliability and maintenance. It supplies the
necessary theoretical and practical details for readers to perform
reliability analyses and apply maintenance policies in their
organizations.
For more information see
on link.
Importance Measures in Reliability, Risk, and Optimization
Principles
and Applications
Kuo, Way / Zhu, Xiaoyan
1. Edition  May 2012
ca. 89.90 Euro
2012. 384 Pages, Hardcover
ISBN10: 111999344X
ISBN13: 9781119993445  John Wiley & Sons
This unique treatment systematically interprets a
spectrum of importance measures to provide a comprehensive overview of
their applications in the areas of reliability, network, risk,
mathematical programming, and optimization. Investigating the precise
relationships among various importance measures, it describes how they
are modelled and combined with other design tools to allow users to
solve readily many realworld, largescale decisionmaking problems.
Presenting the stateoftheart in network analysis, multistate systems,
and application in modern systems, this book offers a clear and complete
introduction to the topic. Through describing the reliability importance
and the fundamentals, it covers advanced topics such as signature of
coherent systems, multilinear functions, and new interpretation of the
mathematical programming problems.
Key highlights:

Generalizes the concepts behind importance
measures (such as sensitivity and perturbation analysis, uncertainty
analysis, mathematical programming, network designs), enabling
readers to address largescale problems within various fields
effectively

Covers a large range of importance measures,
including those in binary coherent systems, binary monotone systems,
multistate systems, continuum systems, repairable systems, as well
as importance measures of pairs and groups of components

Demonstrates numerical and practical
applications of importance measures and the related methodologies,
including risk analysis in nuclear power plants, cloud computing,
software reliability and more

Provides thorough comparisons, examples and
case studies on relations of different importance measures, with
conclusive results based on the authors' own research

Describes reliability design such as redundancy
allocation, system upgrading and component assignment.
This book will benefit researchers and
practitioners interested in systems design, reliability, risk and
optimization, statistics, maintenance, prognostics and operations.
Readers can develop feasible approaches to solving various openended
problems in their research and practical work. Software developers, IT
analysts and reliability and safety engineers in nuclear,
telecommunications, offshore and civil industries will also find the
book useful.
STATISTICAL
MODELS IN RELIABILITY THEORY
Antonov, A.V.,
Ph.D., professor of Obninsk State Technical University of Atomic Energy,
Russia Nikulin, M.S.,
Professor of University B. Segal, Bordeaux2, Institute of Applied
Mathematics, France
The book presents the modern dynamic models and methods
of statistical analysis of the reliability of complex technical
systems. The methods of calculating the reliability of components and
systems taking into account their age, presents problems of calculating
the characteristics of structurally complex systems, models of
reliability analysis to restore equipment. Attention is paid to issues
of statistical information processing based on censored observations are
presented nonparametric methods for estimating the reliability
characteristics, the statistical models used in the planning and
organization for accelerated tests, as well as methods of analysis for
the study of degradation processes occurring in the equipment during its
operation, in order to predict its behavior during subsequent operation.
For students enrolled in "Computer Science" and the educational program
(specialty), implemented in the areas of training graduates' Automated
Information Processing and Management, "as well as for graduate students
and engineers.
Table of
Contents
For all questions purchase book
contact publishing "Нigh
School" Tel. +7 (495) 6940769 (sales).
Practical
Reliability Engineering
Patrick P. O'Connor , Andre
Kleyner
Publication Date: March
6, 2012  ISBN10: 047097981X  ISBN13: 9780470979815  Edition: 5
With emphasis on practical aspects of engineering,
this bestseller has gained worldwide recognition through progressive
editions as the essential reliability textbook. This fifth edition
retains the unique balanced mixture of reliability theory and
applications, thoroughly updated with the latest industry best
practices. Practical Reliability Engineering fulfils the requirements of
the Certified Reliability Engineer curriculum of the American Society
for Quality (ASQ). Each chapter is supported by practice questions, and
a solutions manual is available to course tutors via the companion
website.
Enhanced coverage of mathematics of reliability,
physics of failure, graphical and software methods of failure data
analysis, reliability prediction and modelling, design for reliability
and safety as well as management and economics of reliability programmes
ensures continued relevance to all quality assurance and reliability
courses.
Notable additions include:

New chapters on applications of Monte Carlo
simulation methods and reliability demonstration methods.

Software applications of statistical methods,
including probability plotting and a wider use of common software
tools.

More detailed descriptions of reliability
prediction methods.

Comprehensive treatment of accelerated test
data analysis and warranty data analysis.

Revised and expanded endofchapter tutorial
sections to advance students’ practical knowledge.
The fifth edition will appeal to a wide range of
readers from college students to seasoned engineering professionals
involved in the design, development, manufacture and maintenance of
reliable engineering products and systems.
For more information see
on link.
Statistical Data Analysis, Modeling and Study of Probability
Regularities. Computer Approach:
monograph
B.Yu. Lemeshko, S.B. Lemeshko, S.N. Postovalov, E.V. Chimitova.
Novosibirsk : NSTU Publisher, 2011. – 888 pp. (“NSTU Monographs”
series).
ISBN 9785778215900
Issues relating to applying statistical analysis methods are addressed
in the monograph. Problems of estimating parameters for point, censored,
grouped and interval samples are discussed. Differences between estimate
properties under limited amounts of samples and asymptotic properties of
the same estimates are studied. The use of the χ2 goodnessoffit tests
and the effect of factors on the test power (i.e. the number of
intervals and ways of grouping) are considered. The use of nonparametric
goodnessoffit tests (Kolmogorov’s, Kramer–Mises–Smirnov’s and
Anderson–Darling’s) when testing complex hypotheses is discussed. A lot
of models of distributed statistics of these tests when checking various
complex hypotheses are provided. The results of a comparative analysis
of the power of parametric and nonparametric goodnessoffit tests are
given. The results of study of properties of various tests of hypotheses
of empirical distribution abnormality are given, Advantages and
disadvantages of some tests are emphasized and the results of a
comparative analysis of tests power are provided. Properties and power
of nonparametric tests for homogeneity are studied. The stability of
classical tests for homogeneity of means against the departure from the
normal law is demonstrated and a comparative analysis of parametric and
nonparametric test power is made. A comparative analysis of classical
test power in checking hypotheses of variances homogeneity is made as
well as an analysis of nonparametric criteria of testing hypotheses of
variance characteristics equality. A possibility of using classical
tests for homogeneity of variances with distribution abnormality laws is
shown. Tests for the rejection of abnormal measurements and tests of the
presence of a trend are studied and analyzed. A lot of tables that
present the results of the study and help to use correctly the proposed
methods of statistical analysis are given in the appendices. The book is
intended for undergraduate, graduate and postgraduate students,
university teachers, researchers and specialists in various fields (e.g.
engineers, economists, physicians, etc.) who need to analyze the results
of their experimental research.
Network Reliability and Resilience
(SpringerBriefs in Electrical and Computer Engineering)
Ilya Gertsbakh,
Yoseph Shpungin
Paperback: 74 pages
Publisher: Springer; 1st Edition. edition (September 3, 2011)
Language: English
ISBN10: 3642223737
ISBN13: 9783642223730
Product Dimensions: 9.1 x 5.9 x 0.6 inches
This book is devoted to the probabilistic description of the behavior of
a network in the process of random removal of its components (links,
nodes) appearing as a result of technical failures, natural disasters or
intentional attacks. It is focused on a practical approach to network
reliability and resilience evaluation, based on applications of Monte
Carlo methodology to numerical approximation of network combinatorial
invariants, including socalled multidimensional destruction spectra.
This allows to develop a probabilistic followup analysis of the network
in the process of its gradual destruction, to identify most important
network components and to develop efficient heuristic algorithms for
network optimal design. Our methodology works with satisfactory accuracy
and efficiency for most applications of reliability theory to real –life
problems in networks.
Applied
Nonparametric Statistics in Reliability
Series: Springer
Series in Reliability Engineering
Gámiz, M.L., Kulasekera, K.B., Limnios, N., Lindqvist, B.H.
1st Edition., 2011, XIII, 230 p. 41 illus.
Hardcover, ISBN 9780857291172
Usually dispatched within 3 to 5 business days
99,95 €
ABOUT THIS BOOK
Nonparametric statistics has probably become the leading methodology for
researchers performing data analysis.
It is nevertheless true that, whereas these methods have already proved
highly effective in other applied areas of knowledge such as
biostatistics or social sciences, nonparametric analyses in reliability
currently form an interesting area of study that has not yet been fully
explored. Applied Nonparametric Statistics in Reliability is focused on
the use of modern statistical methods for the estimation of
dependability measures of reliability systems that operate under
different conditions. The scope of the book includes: smooth estimation
of the reliability function and hazard rate of nonrepairable systems;
study of stochastic processes for modelling the time evolution of
systems when imperfect repairs are performed; nonparametric analysis of
discrete and continuous time semiMarkov processes; isotonic regression
analysis of the structure function of a reliability system, and lifetime
regression analysis. Besides the explanation of the mathematical
background, several numerical computations or simulations are presented
as illustrative examples. The corresponding computerbased methods have
been implemented using R and MATLAB®. A concrete modelling scheme is
chosen for each practical situation and, in consequence, a nonparametric
inference procedure is conducted. Applied Nonparametric Statistics in
Reliability will serve the practical needs of scientists (statisticians
and engineers) working on applied reliability subjects.
Mathematical and Statistical Models and Methods in Reliability
Applications to Medicine, Finance, and Quality Control
Rykov, V.V.; Balakrishnan, N.; Nikulin, M.S. (Eds.)
1st Edition., 2010, XXVI, 457 p. 74 illus.
A product of Birkhäuser Boston
Hardcover, ISBN
9780817649708
An outgrowth of the sixth conference on “Mathematical Methods in
Reliability: Theory, Methods, and Applications,” this book is a
selection of invited chapters, all of which deal with various aspects of
mathematical and statistical models and methods in reliability.
Written by recognized experts in the field of reliability, the
contributions cover a wide range of models, methods, and applications,
reflecting recent developments in areas such as survival analysis,
aging, lifetime data analysis, artificial intelligence, medicine,
carcinogenesis studies, nuclear power, financial modeling, aircraft
engineering, quality control, and transportation.
The volume is thematically organized into four major sections:
*
Reliability Models, Methods, and Optimization;
*
Statistical Methods in Reliability;
*
Applications;
*
Computer Tools for Reliability.
Mathematical and Statistical Models and Methods in Reliability is an
excellent reference text for researchers and practitioners in applied
probability and statistics, industrial statistics, engineering,
medicine, finance, transportation, the oil and gas industry, and
artificial intelligence.
Nonparametric Tests for Censored Data
Vilijandas Bagdonavicus, Julius Kruopis, Mikhail Nikulin
ISBN: 9781848212893
Hardcover
January 2011, WileyISTE
US $95.00
This book concerns testing hypotheses in nonparametric models.
Generalizations of many nonparametric tests to the case of censored and
truncated data are considered. Most of the test results are proved and
real applications are illustrated using examples. Theories and exercises
are provided. The incorrect use of many tests applying most statistical
software is highlighted and discussed.
G.P. Klimov
Invariant Statistical
Desisions
The book based on course
of lectures at Universities
of Russia, United States,
Poland, Germany and Belgium.
Published by Moscow State
University (Russia). 
G.P. Klimov
Queuing Theory
The book based on course
of lectures at Universities
of Russia, United States,
Poland, Germany and Belgium.
Published by Moscow
State University (Russia).

G.P. Klimov
Probability Theory
and Mathematical Statistics
The book based on course
of lectures at Universities
of Russia, United States, Poland,
Germany and Belgium.
Published by Moscow State
University (Russia). 
Decomposable SemiRegenerative Processes. And Their Applications
(Paperback)
Publisher: Lap Lambert Academic Publishin
A
very known notion of regeneration means that the "future" of a
stochastic process became independent from its "past" in some random
times, which is usually times of some state (regeneration state)
destination. Presence of regeneration times allows to represent
appropriate process as independent functional elements, regeneration
cycles, investigate its characteristics in terms of them at separate
regeneration cycles and proof some asymptotic theorem about this type of
processes. If there are several such regeneration states this notion is
generalized up to notion of semi regeneration. In this case the process
could be represented as a Markov chain of its cycles. Next step of
generalization consists in discovering of some embedded regeneration
times that allows to construct some hierarchical structure for the
processes, possessing this property. This processes are named as
decomposable semiregenerative processes. The methods of these processes
applied then for the investigation of several models: M/GI/1 queuing
system, M_r/GI_r/1 priority queuing system, GI/GI/1 queuing system,
polling system and reliability of complex hierarchical system.
Table of Contents
Mathematical Statistics and Experiment Design
Gubkin Russian State University of Oil and Gas
Applied Mathematics for Engineers
by
V.V. RYKOV,
V.Yu.Itkon
Moscow, 2009
This issue is a text book that has been done during several years for
students in Applied Mathematics of Gubkin Russian State University of
Oil and Gas. Some specific contains in e3xamples and materials for
students work that are oriented to application in oil and gas industry.
Table of
contents available or Russian
Stochastic Processes. Diffusion Processes and Processes with Independent
Increments
Lections to the course on Applied Stochastic Models
Peoples’ Friendship University of Russia
Probability Theory and Mathematical Statistics Department
by
V.V. RYKOV
Moscow, 2010
This issue is the second part of a previous one. This is a course of
lections that during several years has been done for students of Applied
Mathematics of Gubkin Russian State University of Oil & Gas and for
students of Probability Theory and Mathematical Statistics of Peoples’
Friendship University of Russia.
The course is based on the traditional material for stochastic processes
and being oriented to application its peculiarities are commentaries
instead of strong proofs of some theorems.
Table of
contents available or Russian
This book includes notes of lectures given over the years to students
majoring in applied mathematics and computer simulation of the Russian
State University of Oil and Gas, and students majoring in Probability
and Mathematical Statistics of the Russian Peoples' Friendship
University.
The material is based on traditional courses, the
theory of random processes. Some features of this course designed for
students majoring in Applied Mathematics and Computer Science, is the
replacement of complete proofs of some fundamental theorems of their
comments, allowing to understand the peculiarities of the evidence
around complex and tedious calculations show the presence of "thin
places", but did not investigate them thoroughly.
The basic unit
of the course is a paragraph so numbered formulas, figures, tables,
theorems, etc. own within each section. When referring to formulas from
other sections use double numbering. At the end of each section are
questions for selfassessment exercises, tasks and brief bibliographical
comments.
For students majoring in Applied Mathematics and
Computer Science, Computer Science. "
The author is particularly
grateful to V.A. Kokotushkin who prepared part of the tasks, as well as
D.V. Kozyrev be of great help in the preparation and presentation of a
text.
Table of contents available or Russian
Operational
Risk Management: a practical approach to intelligent data analysis
ISBN
9780470517666
Publisher: John Wiley and Sons, Chichester
Editors:
Ron S. Kenett
and Yossi Raanan
Introduction to the book
Operational Risk Management is becoming a key competency for
organisations in all industries. Financial institutions, regulated by
the Basel II accord, need to address it systematically since their level
of implementation affects their capital requirements, one of their major
operational expenses. Health organisations have been tackling this
challenge for many years. The Institute of Medicine reported in 2000
that 44,000  98,000 patients die each year in the US as a result of
medication errors, surgical errors and missed diagnoses, at an estimated
cost to the US economy of $17$29 billion. Operational risks affect
large organisations as well as Small and Mediumsized Enterprises (SMEs)
in virtually all industries, from the oil and gas industry, to
hospitals, from education to public services.
This multiauthor book is about tracking and managing operational risks
using stateoftheart technology that combines the analysis of
qualitative, semantic, unstructured data with quantitative data. The
examples used are mostly from information technology but the approach is
general. As such, the book provides knowledge and methods that can have
a substantial impact on the economy and quality of life.
The
book has four main parts. Part I is an introduction to Operational Risk
Management, Part II deals with data for Operational Risk Management and
its handling, Part III covers operational risks analytics and Part IV
concludes the book with several applications and a discussion on how
Operational Risk Management integrates with other disciplines. The
fourteen chapters and the book layout are listed below with short
descriptions.
read more in
December issue of electronic
journal “Reliability: Theory & Applications”
by Isaac
Elishakoff (Florida
Atlantic University, USA) &
Makoto Ohsaki (Kyoto
University, Japan)
Table of Contents (72k)
Preface (131k)
Chapter 1: Introduction (235k)
The volume presents a collaboration between internationally recognized
experts on antioptimization and structural optimization, and summarizes
various novel ideas, methodologies and results studied over 20 years.
The book vividly demonstrates how the concept of uncertainty should be
incorporated in a rigorous manner during the process of designing
realworld structures. The necessity of antioptimization approach is
first demonstrated, then the antioptimization techniques are applied to
static, dynamic and buckling problems, thus covering the broadest
possible set of applications. Finally, antioptimization is fully
utilized by a combination of structural optimization to produce the
optimal design considering the worstcase scenario. This is currently
the only book that covers the combination of optimization and
antioptimization. It shows how various optimization techniques are used
in the novel antioptimization technique, and how the structural
optimization can be exponentially enhanced by incorporating the concept
of worstcase scenario, thereby increasing the safety of the structures
designed in various fields of engineering.

Optimization or Making the Best in the Presence of
Certainty/Uncertainty

General Formulation of AntiOptimization

AntiOptimization in Static Problems

AntiOptimization in Buckling

AntiOptimization in Vibration

AntiOptimization via FEMBased Interval Analysis

AntiOptimization and Probabilistic Design

Hybrid Optimization with AntiOptimization under Uncertainty or
Making the Best Out of the Worst
Readership: Graduate students, professionals and academics in the field
of mechanical engineering.
