
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 modeling, design for reliability
and safety as well as management and economics of reliability programmes
ensures continued relevance to all quality assurance and reliability
courses. 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.

The LogicalProbabilistic Assessment
of the Reliability, Survivability
and Safety Problems
By Igor Riabinin
This book is written by the outstanding
Russian reliability expert –
Igor Riabinin.
You can find a detailed information about this wonderful man
on site.

Models of Network Reliability
Analysis, Combinatorics,
and Monte Carlo
By Ilya
B Gertsbakh, Yoseph Shpungin
ISBN: 9781439817414
Binding: Hardback
Published by: CRC Press
Publication Date: 22/12/2009, Pages: 217
About the Book
Unique in its approach, Models of Network
Reliability: Analysis, Combinatorics, and Monte Carlo provides a brief
introduction to Monte Carlo methods along with a concise exposition of
reliability theory ideas.
From there, the text
investigates a collection of principal network reliability models, such
as terminal connectivity for networks with unreliable edges and/or
nodes, network lifetime distribution in the process of its destruction,
network stationary behavior for renewable components, importance
measures of network elements, reliability gradient, and network optimal
reliability synthesis. Solutions to most principal network reliability
problems are presented in the
form of efficient Monte Carlo algorithms and illustrated with numerical
examples and tables—including medium sized computer networks.
Table of Contents

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
more:
http://eu.wiley.com/WileyCDA/WileyTitle/productCd047074748X.html
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.


What is this book about? For whom is it written?
Thus, this is
not a tutorial book on mathematics or history of science. This is a kind
of museum: you come here just for excursions to know about interesting
and sometimes exciting stories of human discoveries in sciences.
The book is
open for everybody who likes to enrich their intelligence with the
history of genius insights and great mistakes (mistakes also can be
great!), and with biographies of creators of mathematical thinking and
mathematical approaches in the study of the World.
Who are the
readers of the proposed book? We believe that there is no special
audience in the sense of education or age. We can imagine that the book
could be interesting even for state leaders whose educational level is
enough to read something beyond speeches prepared for them by their
advisors. This book is
not intended to convert you to a “mathematical religion”. However, to
be honest, we pursued the objective: we tried to convince you, the
reader, that without mathematics homo erectus would never transform
into homo sapiens.
Igor
Ushakov

Reliability Engineering
and Risk Analysis:
A Practical Guide,
Second Edition
ISBN: 0849392470
Reliability Engineering and Risk
Analysis: A Practical Guide, Second Edition has already
introduced a generation of engineers to the practical
methods and techniques used in reliability and risk
studies applicable to numerous disciplines. Written for
both practicing professionals and engineering students,
this comprehensive overview of analysis techniques has
been fully updated, expanded, and revised to meet
current needs. It concentrates on reliability analysis
of complex systems and components, and also presents
elementary risk analysis techniques and how they are
applied to individual components. It then reviews more
complex overall system reliability.
Since reliability analysis is a multidisciplinary
subject, the scope of this book applies to most
engineering disciplines. The contents of the book are
primarily based on the materials used in three
undergraduate and graduatelevel courses at the
University of Maryland. This book has greatly benefited
from its authors industry experience. It balances a
mixture of basic theory and useful applications and
presents a large number of examples to clarify the
technical subjects. It assesses the uses and limitations
of techniques commonly used today, updating advances,
emerging topics, and techniques.
A proven educational tool, this bestselling classic will
serve anyone working on realfailure prediction problems.
It presents illustrative examples and exercises used in
the authors’ classes to clarify technical subjects and
expand discussion of modeling for analysis.

Andrey
Kostogryzov, Vojislav Stoiljković
APPLICABLE METHODS TO ANALYZE
AND OPTIMIZE SYSTEM PROCESSES
Moscow:
“Armament. Policy. Conversion”, 2007 — 328 p.
ISBN 5902313058
The book focuses on
describing and using mathematical models, methods and software tools,
intended to analyze and optimize system processes
in life cycle. It is purposed for a systems analysts from customers,
designers, developers, users, experts of testing
laboratories and certification bodies, as well as a staff of quality and
security management. Application helps to solve
wellreasonly the next practical system problems in life cycle: analysis
of quality management systems for enterprises;
substantiation of quantitative system requirements to hardware,
software, users, staff,
technologies; requirements analysis; evaluation of project engineering
decisions; investigation of problems concerning
potential threats to system operation including protection against
terrorists and information security; evaluation
of system operation quality, recommending rational conditions for system
use and ways for optimization etc. Dozens
examples explain the offered models.

A.I.
KOSTOGRYZOV, P.V. STEPANOV
Innovative management of quality and risks in systems
life cycle
Moscow: “Armament.
Policy.Conversion”, 2008 — 404 p. (in Russian),
ISBN 5893700120
Practical guide is devoted to the
researches of typical processes for providing effective management of
quality and risks in systems life cycle. It covers logically
closed contour: «requirements of system standards –
supporting mathematical models to estimate probabilities of
success, risks, profits and damages – ways of rational
management, including automatic analysis through Internet».
Thereby the reader can substantiate answers on system
engineering questions: «How to reach level of the
international standards?», «Is expected quality achievable?»,
«Can be the system requirements met?», «How much safe are those
or others scenarios?», «What about the real risks, profits and possible damages?», «What choice is rational?», «What
measures are more effective?» and others. The
answers may be received before critical events (not only after these
events). The modern international and domestic
standards for systems are analyzed. Mathematical models and their
software tools, accessible to wide use, are
offered. Criteria of efficient control are formulated. The mathematical
statements of problems to analyzing and optimizing systems are formulated. Many examples demonstrate practical
possibilities of the offered models and software tools. The innovative approach to quality management and risks
management is supposed, it allows to pass from a
pragmatical filtration of the information to generation of the proved
ideas and effective decisions. The guide is
purposed for systems analysts from customers, designers, developers,
users, experts of testing laboratories and
certification bodies, as well as staff of quality and security
management. It can be used in system life cycle
to form system requirements, compare different processes, substantiate
technical decisions, carrying out tests, adjust
technological parameters, estimate quality and risks. The decisions,
scientifically proved by the offered models and
software tools, can provide purposeful essential improvement of quality
and mitigation of risks and decrease expenses for
created and operating systems.

Scenario
Logic and Probabilisitic Management of Risk in Business and Engineering
Evgueni D.
Solojentsev
Second Edition
The book proposes a
uniform logic and probabilistic (LP) approach to risk estimation
and analysis in engineering
and economics. It covers the methodological and theoretical basis of
risk management at the design, test, and operation stages of economic,
banking, and engineering systems with groups of incompatible events (GIE). It considers the risk LPmodels in
classification, investment, management
of
companies, bribes and corruption, analysis of risk and efficiency of
social and economical processes, and management
of development. By introducing finite sets in the
tabular database (DB), it is possible to get a knowledgebase (KB), to
decide tasks of risk, efficiency and management.

Switching
Processes in Queueing Models
Vladimir
Anisimov, GlaxoSmithKline, UK
ISBN: 9781848210455
Publication Date: May 2008
Hardback 352 pp.
70.00 GPB, 110.00 EUR, 140.00
USD
The book is devoted to developing the
asymptotic theory for the class of switching queuing models which
covers statedependent models in a Markov or semiMarkov environment,
models under the influence of flows of external or internal
perturbations, unreliable and hierarchic networks, etc.
Switching processes, invented by the author in 1977, are the main
tools used in the investigation. Asymptotic results for processes with
rare switching provide a new approach to low traffic problems, to the
analysis of flows of rare events and asymptotic aggregation of state
space in queuing models.
read
more...
book contents
download...

General
risk theory
(in Russian)
N.N. Radaev, Ya.D.
Veshniakov
Different kinds of risks
and their
classification are described
in text edition for
universities published by the printing house
Academia. At the same
time you can find there the
characteristic of risk forming factors, i.e.
natural, industrial, social, social and political ones. General
questions of risks analysis (identification, valuation, prognosis,
acceptability) and risk management (decision
making and measures validation) for different objects are also
systematically represented in the book.

HISTORIES OF SCIENTIFIC INSIGHTS
Igor Ushakov, (Edited by Arne
Mortensen)
ISBN:
9781430328490
Publisher: Lulu.com
Rights
Owner: Igor Ushakov
Language: English
Country:
Edition:
First Edition
Who are the readers of the
proposed book? There is no special audience
in the sense of education or age. The books
could be interesting to schoolteachers and
university professors (not necessarily in
math!) who wish making their lectures more
vivid and intriguing. At the same time,
schoolchildren and university students may
find here many interesting facts and
ideas. The book could be interesting even
for state leaders whose educational level is
enough to read something beyond speeches
prepared for them by their advisors.
To order the book press
http://www.lulu.com/
(after this type “Ushakov” in
SEARCH window)

Last books by Boris Gnedenko
1995,
J.Wiley
Links for
Probabilistic
Reliability Engineering
To John
Wiley and Sons
http://www.wiley.com/WileyCDA/WileyTitle/productCd0471305022.html
To Amazon
http://www.amazon.com/ProbabilisticReliabilityEngineeringBorisGnedenko/dp/0471305022
1999, J.Wiley
Links for
Statistical
Reliability Engineering
To John
Wiley and Sons
http://www.wiley.com/WileyCDA/WileyTitle/productCd0471123560.html
To Amazon
http://www.amazon.com/exec/obidos/ASIN/0471123560

STOCHASTIC
SYSTEMS IN MERGING PHASE SPACE
by Vladimir S Koroliuk (National Academy of
Sciences, Ukraine) & Nikolaos Limnios
(University of Technology of Compiиgne,
France)
348pp Pub. date: Dec 2005
ISBN 9789812565914 9812565914
US$75 / £41
This book provides recent results on the
stochastic approximation of systems by weak
convergence techniques. General and
particular schemes of proofs for average,
diffusion, and Poisson approximations of
stochastic systems are presented, allowing
one to simplify complex systems and obtain
numerically tractable models.
The systems discussed in the book include
stochastic additive functionals, dynamical
systems, stochastic integral functionals,
increment processes and impulsive processes.
All these systems are switched by Markov and
semiMarkov processes whose phase space is
considered in asymptotic split and merging
schemes. Most of the results from
semiMarkov processes are new and presented
for the first time in this book.

Reliability and Risk: A Bayesian
Perspective
Nozer D. Singpurwalla
ISBN: 9780470855027
Hardcover
396 pages
August 2006
Reliability and Risk provides a
comprehensive overview of the mathematical
and statistical aspects of risk and
reliability analysis, from a Bayesian
perspective. This book sets out to change
the way in which we think about reliability
and survival analysis by casting them in the
broader context of decisionmaking.
Reliability and Risk can most profitably be
used by practitioners and research workers
in reliability and survivability as a source
of information, reference, and open
problems. It can also form the basis of a
graduate level course in reliability and
risk analysis for students in statistics,
biostatistics, engineering (industrial,
nuclear, systems), operations research, and
other mathematically oriented scientists,
wherein the instructor could supplement the
material with examples and problems.

Encyclopedia of Statistics in Quality and
Reliability
Fabrizio Ruggeri
(EditorinChief),
Ron S. Kenett
(EditorinChief),
Frederick W. Faltin
(EditorinChief)
ISBN: 9780470018613
Hardcover
1800 pages
November 2007
Description
An essential reference for
statisticians, engineers, and quality
professionals in industry, academia, and
government, Encyclopedia of Statistics in
Quality and Reliability offers an
essential knowledge source in an area where
one is sorely needed. Providing a practical
orientation with a large selection of case
studies, this multivolume stateoftheart
publication examines the widespread use of
Six Sigma. This popular quality measuring
technique is a highly adaptable tool with
many widereaching applications in a large
variety of sectors.

Mikhail Yastrebenetsky,
Viktor Vasilchenko, Svetlana Vinogradska,
Vladislav
Goldrin, Yuri Rozen, Leonid Spektor, Viacheslav
Kharchenko
Nuclear Power Plants Safety: Instrumentation and
Control Systems
The book covers the issue of
nuclear power plants (NPP) instrumentation and control
(I&C) systems considered in terms of NPP safety.
International Atomic Energy Agency, International
Electrotechnical Commission, Ukrainian and Russian
standard bases related NPP I&C systems are
overviewed. The requirements important for
the safety of NPP I&C systems and their
components (hardware, software, program
technical complexes) are described, as well
as recommendations on the assurance of these
requirements. The examples of safety
assurance and evaluation of different I&C
systems installed at Ukrainian NPPs are
described...

AN
INTRODUCTION TO THE BASICS OF RELIABILITY
AND RISK ANALYSIS
by Enrico Zio (Polytechnic of Milan, Italy)
The necessity of expertise
for tackling the complicated and
multidisciplinary issues of safety and risk
has slowly permeated into all engineering
applications so that risk analysis and
management has gained a relevant role, both
as a tool in support of plant design and as
an indispensable means for emergency
planning in accidental situations. This
entails the acquisition of appropriate
reliability modeling and risk analysis tools
to complement the basic and specific
engineering knowledge for the technological
area of application.
Aimed at providing an organic
view of the subject, this book provides an
introduction to the principal concepts and
issues related to the safety of modern
industrial activities. It also illustrates
the classical techniques for reliability
analysis and risk assessment used in current
practice.

ELEMENTS OF STOCHASTIC
MODELLING by K Borovkov
(The
University of Melbourne, Australia)
This textbook has been developed from the lecture notes for
a onesemester course on stochastic modelling. It reviews
the basics of probability theory and then covers the
following topics: Markov chains, Markov decision processes,
jump Markov processes, elements of queueing theory, basic
renewal theory, elements of time series and simulation.
Rigorous
proofs are often replaced with sketches of arguments — with
indications as to why a particular result holds, and also
how it is connected with other results — and illustrated by
examples. Wherever
possible, the book includes references to more specialised
texts containing both proofs and more advanced material
related to the topics covered.

Series on
Quality, Reliability and Engineering Statistics Vol. 10
MODERN STATISTICAL AND
MATHEMATICAL METHODS IN RELIABILITY
by Alyson
Wilson (Los Alamos National Laboratory, USA Nikolaos
Limnios (Universite de Technologie de Compiegne, France),
Sallie KellerMcNulty & Yvonne
<\miijn (Los Alamos National Laboratory, USA)
This volume
contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth
International Conference on
Mathematical Methods in Reliability in Santa Fe, New Mexico,
June 2125, 2004, the leading
conference in reliability research. The meeting serves as a
forum for discussing fundamental issues on mathematical
methods in reliability theory and its applications.A broad
overview of current research activities in reliability
theory and its applications is provided with coverage on
reliability modeling, network and system reliability,
Bayesian methods, survival analysis, degradation and
maintenance modeling, and software reliability.

STOCHASTIC
SYSTEMS IN MERGING PHASE SPACE
by Vladimir
S Koroliuk (National Academy of Sciences, Ukraine) &
Nikolaos Limnios (University of Technology of Compiegne,
France)
This book
provides recent results on the stochastic approximation of
systems by weak convergence techniques. General and
particular schemes of proofs for average, diffusion, and
Poisson approximations of stochastic systems are presented,
allowing one to simplify complex systems and obtain
numerically tractable models.
The systems
discussed in the book include stochastic additive
functional, dynamical systems, stochastic integral
functionals, increment processes and impulsive processes.
All these systems are switched by Markov and semiMarkov
processes whose phase space is considered in asymptotic
split and merging schemes. Most of the results from
semiMarkov processes are new and presented for the first
time in this book.

EXTREME VALUE DISTRIBUTIONS Theory and Applications
by Samuel
Kotz (The George Washington University USA) & Saralees
Nadarajah
(The University of Nottingham, UK)
"Extreme
Value Distributions is a wellorganized, workmanlike
treatment of the subject ... Researchers who need to deal
with extreme value problems but are novice statisticians
will greatly appreciate the clarity of presentation in this
book and will wish to obtain copy."
The
Statisticians, Royal Society of Statistics "The wealth of
material and the critical comments by the authors on the
various problems considered in the monograph should make it
a valuable resource even for a specialist'

Geometries and
Groups
by V.v. Nikulin,
I.r. Shafarevich
$69.95
This is a
quite exceptional book, a lively and approachable treatment
of an important field of mathematics given in a masterly
style. Assuming only a school background, the authors
develop locally Euclidean geometries, going as far as the
modular space of structures on the torus, treated in terms
of Lobachevsky's nonEuclidean geometry. Each section is
carefully motivated by discussion of the physical and
general scientific implications of the mathematical
argument, and its place in the history of mathematics and
philosophy.
The book is expected to find a place alongside
classics such as Hilbert and CohnVossen's "Geometry and the
imagination" and Weyl's "Symmetry"

Б.В. Гнеденко
Очерки по
истории математики в России
Abstract
The book, written by one
of the classics in the Probability Theory – Boris Gnedenko
(19121995), contains a history of development of mathematical
culture in Russia from the oldest days until 40s of the XX century.
This is the second edition which includes new comments that cover
some new results during the last 60 years.
The book will be
interesting for wide audience as well as for mathematicians,
historians and science methodologists. The book is published in
Russian by “KomKniga” Publishing House (Moscow, Russia) in the end
of 2005.

Б.В. Гнеденко,
И.Н. Коваленко
Введение в
теорию массового обслуживания
Abstract
The book is the 3rd
corrected and completed edition. It is dedicated to explanation of
the main methodology of the Queuing Theory. A serious attention is
paid to probabilistic interpretation of the results that directed to
the developing of the reader intuition. The theory of homogenous
point processes, created by A. Khinchin, as well as Markov process
theory are applied for constructing various queuing system. Methods
of Monte Carlo simulation are also presented.
This edition is focused on
some specific queuing models that are most used nowadays. There is
also a brief review of modern works in the area. The final part of
the book is dedicated to description of Gnedenko’s input into
Queuing and Reliability theories and a list of his publications on
the subject is given. The book will be useful for those who deal
with probability theory and its applications: engineers, doctoral
students and graduate students of universities.

Stochastic Ageing
and
Dependence for Reliability
ChinDiew Lai and Min Xie
Ageing and
dependence are two important characteristics in reliability
and survival analysis, and they affect significantly the
decision people make with regard to maintenance,
repair/replacement, price setting, warranties, medical
studies, and other areas. There are many papers published at
different technical levels. This book aims at providing a
stateoftheart review of the subject so the interested
readers may have a panoramic view of the theory and
applications of the two areas.
This book serves
as reference book for professors and researchers involved in
reliability and survival analysis. Students with basic
probability and statistics knowledge interested in
applications will also find the book useful.

The Universal
Generating Function in Reliability Analysis and Optimization
Gregory Levitin
Springer,
2005
The author
develops techniques of Universal Generating Function
introduced by I. Ushakov in the middle of 80e. The book
offers a description of the universal generating function
technique and its applications in Reliability Analysis of
binary and multistate systems and as well to optimization
of seriesparallel structures under certain constraints. The
book supplies with a number of examples from engineering
practice.

Теория
надежности с приложениями к
профилактическому обслуживанию
И. Герцбах
Эта книга 
перевод с английского монографии I. Gertsbakh, Theory of
Reliability With Applications to Preventive Maintenance,
SpringerVerlag 2000.
Автор 
известный специалист в области теории надежности  написал
ее на основе лекций, прочитанных в 19971999 гг. в
Университете им. БенГуриона (Израиль) для студентов
инженерных специальностей. И.Герцбах знаком русскому
читателю по книгам "Модели отказов" (совместно с Х.Б.
Кордонским, 1966) и "Модели профилактики" (1969).
"Теория
надежности" написана просто и доступно, в ней нет длинных и
громоздких доказательств, в ней много интересных примеров и
задач с подробными решениями и алгоритмами, написанными на
пакете Mathematica.
В Приложении
дается Нормальная и Вейбулловская вероятностная бумага .
Книга
содержит сведения о статистической обработке неполных (усеченных)
данных, теорию распределений в надежности, модели
профилактического обслуживания систем с многими
состояниями, новый материал по обслуживанию с обучением и
по выбору оптимальных шкал времени.
Эта книга
идеально подходит как учебник или учебное пособие по Теории
надежности, Приложениям теории вероятностей, Введению в
случайные процессы, и может быть использована студентами,
аспирантами и научными работниками инженерных
специальностей и прикладными математиками.

Mathematical Models for
Systems Reliability
List Price: £41.99 ISBN: 9781420080827 Number of Pages: 272
Evolved from the lectures of a recognized
pioneer in developing the theory of reliability, Mathematical Models for
Systems Reliability provides a rigorous treatment of the required
probability background for understanding reliability theory. This
classroomtested text begins by discussing the Poisson process and its
associated probability laws. The next two chapters explore the
stochastic behavior over time of one and twounit repairable systems.
After covering general continuoustime Markov chains, pure birth and
death processes, and transitions and rates diagrams, the authors
consider first passagetime problems in the context of systems
reliability. The final chapters show how certain techniques can be
applied to a variety of reliability problems.

Advances in Degradation Modeling
Applications to Reliability, Survival
Analysis, and Finance Series: Statistics for
Industry and Technology
Nikulin, M.S.; Limnios, N.;
Balakrishnan, N.; Kahle, W.; HuberCarol, C. (Eds.)
2010, XXXVI, 412 p. 98 illus., Hardcover
A Birkhäuser book

Reliability of Structures:
Analysis and
Applications
by Vladimir Raizer
isbn
9780974201979 US$119.00 :: ©2009 146 pages
This monograph presents the resulting
formulations of the theory of reliability and their
applications in the probabilitybased structural analysis and the
development of rules, codes and standards. Classification of loads and actions and their combinations are discussed
in detail, as well as evaluation of acceptable and optimal levels of
risk in structural engineering. Special attention
is given to assessing the effect of corrosion in reliability analysis
and to applications of probabilistic methods to unique structures and
extremely rare and severe disastrous events. The key issues are
discussed using specific examples of reliability
assessment and probabilistic design of different structures in civil
engineering.
The author is an internationally recognized
expert in the field of reliability analysis and development of both
Russian national and international (ISO and other) codes on reliability
analysis and probabilistic loading of structures. The book is addressed to specialists involved in structural design and
reliability assessment of a wide range of engineering structures in
civil, offshore, marine, mechanical, aircraft & space, and
transportation industries, research organizations, universities, and regulatory agencies.

Acturial Models: The Mathematics of Insurance
(Hardcover)
by Vladimir I. Rotar (Author)
Ideal for students preparing for level 300 actuarial exams in the US,
Actuarial Models: Divided into three selfcontained and explicitly
designated parts of different levels of difficulty, this book examines
standard as well as advanced topics such as modern utility theory,
martingale technique, models with payments of dividends, reinsurance
models, and classification of distributions. It provides practical
skills in analysis of insurance processes. This text discusses a number
of topics not commonly found in existing Actuarial Mathematics
textbooks, including achievements of the modern Risk Evaluation theory,
premium principles, accuracy of normal and Poisson approximation, and a
reinsurance market model.
The main text
is preceded by introductory chapters containing basic facts from
Probability Theory, Calculus, and the Theory of Interest. The reader
will not have to refer to outside sources; everything is under one cover
and in the same unified notation and style. The book includes many
examples, practice problems, and exercises on numerical calculations
using Excel®.
It includes
preliminary examination material for the Society of Actuaries and the
Casualty Actuarial Society (CAS), providing, in particular, real
problems from past CAS exams.

Theory of System Reliability
(in Russian)
I.A. Ushakov
Number of pages: 240
Type of a book: textbook
The book is intended for practical
engineers and university students of engineering and mathematical
departments. General reliability theory oriented on system analysis is
supported with a number of real examples from engineering practice.

Reliability and Risk:
A Bayesian
Perspective
Nozer D. Singpurwalla
ISBN:
9780470855027
Hardcover
396 pages
August 2006
Reliability and Risk provides a comprehensive
overview of the mathematical and statistical aspects
of risk and reliability analysis, from a Bayesian
perspective. This book sets out to change the way in
which we think about reliability and survival
analysis by casting them in the broader context
of decisionmaking. Reliability and Risk can most
profitably be used by practitioners and research
workers in reliability and survivability as a source
of information, reference, and open problems. It can
also form the basis of a graduate level course in
reliability and risk analysis for students in
statistics, biostatistics, engineering (industrial,
nuclear, systems), operations research, and other
mathematically oriented scientists, wherein the
instructor could supplement the material with
examples and problems.

Statistical Models and Methods for Biomedical and Technical Systems
Vonta, F.; Nikulin,
M.; Limnios, N.; HuberCarol, C. (Eds.)
2008, Approx. 590 p. 55
illus.
A Birkhäuser book
Due: August 2008
An
outgrowth of the "International Conference on Statistical Models for
Biomedical and Technical Systems," this book is comprised of
contributions from renowned experts, demonstrating the significance
of current research on theory, methods, and applications of the
field. The book will be useful to a broad interdisciplinary
readership of researchers and practitioners in applied probability
and statistics, industrial statistics, biomedicine, biostatistics,
and engineering. Practitioners and researchers in academia will gain
insight and new ideas for exploring this fertile area of research.



