rent-now

Rent More, Save More! Use code: ECRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

9780817641351

Recent Advances in Reliability Theory : Methodology, Practice and Interference

by ;
  • ISBN13:

    9780817641351

  • ISBN10:

    0817641351

  • Format: Hardcover
  • Copyright: 2000-07-01
  • Publisher: Springer Verlag
  • Purchase Benefits
  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $149.00 Save up to $129.20
  • Digital
    $42.90*
    Add to Cart

    DURATION
    PRICE
    *To support the delivery of the digital material to you, a digital delivery fee of $3.99 will be charged on each digital item.

Summary

This book presents thirty-one extensive and carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of the latest developments and innovative techniques in a wide range of theoretical and numerical issues in the field of statistical and probabilistic methods in reliability.

Table of Contents

Preface xv
Contributors xvii
List of Tables
xxiii
List of Figures
xxv
I General Approach 1(38)
Reliability: Past, Present, Future
3(20)
Igor Ushakov
Introduction
3(1)
Main Directions of Modern Reliability Theory
4(3)
History of Ideas in Reliability
7(4)
In the White Water of a Publications Stream
11(1)
Problems Expecting Solutions
12(2)
Conclusion
14(9)
Reliability Analysis as a Tool for Expressing and Communicating Uncertainty
23(16)
Terje Aven
Introduction
23(2)
Basic Principles
25(2)
Examples
27(6)
Production loss
27(5)
Methods of structural reliability analysis
32(1)
Discussion
33(6)
II Probability Models and Related Issues 39(78)
Modeling a Process of Non-Ideal Repair
41(14)
Max S. Finkelstein
Introduction
41(2)
Imperfect and General Repair: A Brief Review
43(3)
Multiphase ALM
46(4)
Final Remarks
50(5)
Some Models and Mathematical Results for Reliability of Systems of Components
55(14)
Christiane Cocozza-Thivent
Which Model to Choose?
55(5)
Several models
55(2)
Comparisons with constant failure rates
57(3)
Comparison of Systems
60(1)
Comparison in case of Markov models
60(1)
Comparison in case of independent components with general rates
61(1)
Results Depending on the Mean Values
61(1)
For a semi-Markov process
61(1)
For a product of independent semi-Markov processes
61(1)
Some Explicit Formulas
62(2)
General results for a product of interacting semi-Markov processes
62(1)
Case of a product of independent alternating renewal processes
62(2)
Technics of Proof
64(5)
Renewal theory
64(1)
Adding supplementary variables
65(1)
Martingale technics
66(3)
Algorithms of Stochastic Activity and Problems of Reliability
69(16)
Boris Harlamov
Introduction
69(2)
Determinate Dependence on a Valuating Function
71(3)
Random Dependence on a Valuating Function
74(6)
Algorithm of Search of Minimum Intensity of a Stream of Refusals
80(5)
Some Shifted Stochastic Orders
85(20)
Rosa E. Lillo
Asok K. Nanda
Moshe Shaked
Introduction and Preliminaries
85(4)
Logconcavity and logconvexity revisited
85(2)
The likelihood ratio and the hazard rate orders revisited
87(1)
Some facts on order statistics
88(1)
The Up Likelihood Ratio Order
89(4)
The Down Likelihood Ratio Order
93(4)
The Up Hazard Rate Order
97(3)
The Down Hazard Rate Order
100(5)
Characterization of Distributions in Reliability
105(12)
Lev Klebanov
Gabor Szekely
Introduction
105(2)
The Main Equation and its Analytic Solutions
107(2)
The General Solution of the Main Equation
109(2)
Other Normalizations
111(1)
Reconstruction of the Reliability Polynomial from the Limit Distribution
112(1)
A Generalization of the Main Equation
112(2)
A General Limit Result
114(3)
III Asymptotic Analysis 117(64)
Asymptotic Analysis of Reliability for Switching Systems in Light and Heavy Traffic Conditions
119(16)
Vladimir V. Anisimov
Introduction
119(2)
Flows of Rare Events in Systems with Mixing
121(2)
Asymptotically Connected Sets (S-Sets)
123(3)
Homogeneous case
123(2)
Nonhomogeneous case
125(1)
Asymptotically Consolidated Systems
126(1)
Heavy Traffic Conditions
127(2)
Analysis of Reliability of Queueing Models
129(6)
Light traffic analysis in models with finite capacity
129(1)
Heavy traffic analysis
130(1)
Systems with highly reliable servers
131(4)
Nonlinearly Perturbed Markov Chains and Large Deviations for Lifetime Functionals
135(10)
Dmitrii S. Silvestrov
Mixed Large Deviation and Quasi-Ergodic Theorems
135(3)
Asymptotical Expansions for mgf of First Hitting Times
138(1)
Asymptotical Expansions for Quasi-Stationary Distributions
139(1)
Pseudo- and Quasi-Stationary Asymptotics
140(5)
Evolutionary Systems in an Asymptotic Split Phase Space
145(18)
Vladimir S. Korolyuk
Nikolaos Limnios
Introduction
145(1)
Representation of a Stochastic Evolutionary System
146(2)
Examples of Stochastic Evolutionary Systems
148(1)
Phase Merging Scheme
148(4)
Average Scheme
152(3)
Diffusion Approximation Scheme
155(3)
Reliability Interpretation
158(5)
An Asymptotic Approach to Multistate Systems Reliability Evaluation
163(18)
Krzysztof Kolowrocki
Introduction
163(5)
Limit Reliability Functions of Series Systems
168(4)
Limit Reliability Functions of Parallel Systems
172(3)
Applications
175(6)
IV Statistical Models and Data Analysis 181(96)
Computer Intensive Methods Based on Resampling in Analysis of Reliability and Survival Data
183(16)
Yuri K. Belyaev
Introduction
183(2)
Weakly Approaching Distributions
185(3)
Applications to Assessing Distributions of Estimators
188(6)
Assessing Distributions of Maximum Likelihood Estimators
194(2)
Conclusions
196(3)
Statistical Analysis of Damage Processes
199(14)
Waltraud Kahle
Heide Wendt
Introduction
199(2)
Damage Models
201(2)
Models based on continuous processes
201(2)
Shock models
203(1)
Modeling Damage by Marked Point Processes
203(10)
Data Analysis Based on Warranty Database
213(16)
Kazuyuki Suzuki
Wataru Yamamoto
Md. Rezaul Karim
Lianhua Wang
Introduction
213(2)
Age-based Claim Analysis --- Marginal Count Data
215(5)
Repairable products
216(2)
Nonrepairable products - Poisson approximation
218(1)
An example
219(1)
Estimation of Failure Time Distribution
220(4)
Analysis Without Sales Amount Information
224(1)
Conclusion
225(4)
Failure Models Indexed by Time and Usage
229(16)
Simon P. Wilson
Introduction and Overview
229(2)
Formulation of Failure Models Indexed by Two Scales
231(7)
Modelling the time-dependent covariate
231(4)
Modelling the effect of the covariate on time to failure
235(3)
Examples
238(7)
The Poisson process
239(1)
The doubly stochastic Poisson process
239(1)
The compound Poisson process
240(5)
A New Multiple Proof Loads Approach For Estimating Correlations
245(14)
Richard Johnson
xsWenqing Lu
Introduction
245(1)
Review of Current Designs for Estimating Correlation
246(3)
A New Double Proof Load Design
249(4)
Design, notation and the likelihood
249(1)
The Fisher information for the double proof loading
250(2)
Numerical results for the Fisher information
252(1)
A Symmetric Version of the Double Proof Load Design
253(1)
Asymptotic Results
254(1)
An Example Using the Bivariate Weibull Distribution
255(1)
Conclusion
256(3)
Conditional and Partial Correlation For Graphical Uncertainty Models
259(18)
Dorota Kurowicka
Roger Cooke
Introduction
259(1)
Partial and Conditional Correlation
260(2)
Trees, Vines and Copulas
262(2)
Conditions for δ = 0
264(2)
Copulae
266(3)
Computing δ
269(4)
Numerical Results
273(2)
Conclusions
275(2)
V Methods Common to Reliability and Survival Analysis 277(46)
Semiparametric Methods of Time Scale Selection
279(12)
Thierry Duchesne
Introduction
279(1)
Modeling Failure
280(2)
Semiparametric Inference
282(3)
Semiparametric Model Assessment
285(1)
Nonparametric Age Curves
286(2)
Conclusion
288(3)
Censored and Truncated Lifetime Data
291(16)
Catherine Huber
Introduction
291(2)
Examples of Censoring and Truncation
293(1)
Censoring
293(1)
Truncation
293(1)
Regression Models: Independent Case
294(3)
Cox model for independent individuals
294(2)
Logistic discrete regression models
296(1)
Accelerated models
296(1)
Models for Clustered Data
297(10)
Dependence as a nuisance
298(2)
Models for estimating dependence
300(7)
Tests for a Family of Survival Models Based on Extremes
307(16)
Martin Crowder
The Situation
307(2)
Distributions of Sample Extremes
309(1)
A Test for v = 0
310(2)
A Test for v = 1
312(1)
A Test for k = 0
313(1)
A Test for T = 0
313(1)
Tests for v = T = 0
314(1)
Tests for v - 1 = T = 0
315(1)
Tests for k = T = 0
315(2)
Applications
317(6)
VI Software Reliability 323(30)
Software Reliability Models - Past, Present and Future
325(16)
M. Xie
Introduction
325(1)
Some Important NHPP Software Reliability Models
326(3)
General NHPP model formulation
326(1)
Some models for finite failures
327(1)
Some models for infinite failures
328(1)
Further extension of the NHPP model
328(1)
Markov Software Reliability Models
329(2)
The Jelinski-Moranda (JM) model
329(1)
A general formulation
330(1)
The Shanthikumar general Markov model
331(1)
Some Forecasting Approaches
331(3)
Time series models and analysis
331(1)
Regression models
332(1)
Some Bayesian approaches
333(1)
Future Distribution and Some Unsolved Problems
334(7)
Further research on NHPP models
335(1)
Interval estimation in software reliability analysis
335(1)
Use of the models for decision making
335(1)
Modelling and analysis of modular systems
336(1)
Use of metrics in software reliability analysis
337(4)
Dynamic Analysis of Failures in Repairable Systems and Software
341(12)
Jerry F. Lawless
Introduction
341(2)
Some Models and Associated Methodology
343(2)
Some Specific Problems
345(3)
Process monitoring and analysis
345(1)
Prediction
346(1)
Condition-based maintenance
347(1)
Concluding Remarks
348(5)
VI Statistical Inference 353(96)
Precedence Test and Maximal Precedence Test
355(24)
N. Balakrishnan
R. Frattina
Introduction
355(1)
Precedence Test
356(10)
Maximal Precedence Test
366(11)
Possible Extensions
377(2)
Hierarchical Bayesian Inference in Related Reliability Experiments
379(12)
Duane L. Steffey
Francisco J. Samaniego
Hien Tran
Introduction
379(2)
A Hierarchical Structure for Related Reliability Experiments
381(1)
Approximate Posterior Inference
382(2)
An Alternative: Linear Bayes Estimation
384(1)
Comparison of Unpooled, Hierarchical Bayes, and Linear Bayes Estimators
384(3)
Discussion
387(4)
Tests for Equality of Intensities of Failures of a Repairable System Under Two Competing Risks
391(14)
J.V. Deshpande
M. Mukhopadhyay
U.V. Naik-Nimbalkar
Introduction
391(3)
Mathematical Preliminaries
394(2)
Tests for Equality of Two Intensities
396(2)
Consistency of the Tests
398(2)
Asymptotic Relative Efficiency of the Tests for Equality
400(2)
A.R.E. under alternative of proportional intensity
400(1)
A.R.E. under alternative of proportionality of Log-cumulative-intensity
401(1)
Analysis of Boring Machine Failure Data Using Competing Risk Theory
402(3)
Semiparametric Estimation in Accelerated Life Testing
405(14)
Vilijandas Bagdonavicius
Mikhail Nikulin
Models
405(7)
Semiparametric Estimation
412(2)
Properties of the Estimators
414(5)
A Theoretical Framework for Accelerated Testing
419(16)
Michael LuValle
Introduction
419(4)
Thermal Demarcation Maps
423(4)
Bounding Alternative Kinetics
427(4)
Models 2, 3, and 4
427(3)
Model 5
430(1)
Open Questions and Conclusions
431(4)
Unbiased Estimation in Reliability and Similar Problems
435(14)
Mikhail Nikulin
Vassilly Voinov
Introduction
435(2)
Univariate Continuous Probability Models
437(4)
Multivariate Continuous Probability Models
441(2)
Multivariate Discrete Probability Models
443(6)
VIII Asymptotic Methods in Statistics 449(51)
Prediction Under Association
451(26)
George G. Roussas
Introduction, Notation, Assumption, and Statement of Main Result
451(6)
Some Additional Notation and Auxiliary Results
457(5)
Proof of Convergences (2.9) and (2.10)
462(15)
Uniform Limit Laws for Kernel Density Estimators on Possibly Unbounded Intervals
477(16)
Paul Deheuvels
Introduction and Main Results
477(5)
Proofs
482(11)
A Weak Convergence Result Relevant in Recurrent and Renewal Models
493(7)
Edsel Pena
Robert L. Strawderman
Myles Hollander
Introduction
493(1)
Mathematical Setting
494(4)
Integral Transformed Processes
498(2)
The Weak Convergence Result
500

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program