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Cover image for Mathematical reliability : an expository perspective
Title:
Mathematical reliability : an expository perspective
Series:
Kluwer's international series
Publication Information:
Boston : Kluwer Academic Publishers, 2004
ISBN:
9781402076978

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30000010046538 TS173 M37 2004 Open Access Book Book
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Summary

Summary

In this volume consideration was given to more advanced theoretical approaches and novel applications of reliability to ensure that topics having a futuristic impact were specifically included. Topics like finance, forensics, information, and orthopedics, as well as the more traditional reliability topics were purposefully undertaken to make this collection different from the existing books in reliability. The entries have been categorized into seven parts, each emphasizing a theme that seems poised for the future development of reliability as an academic discipline with relevance. The seven parts are networks and systems; recurrent events; information and design; failure rate function and burn-in; software reliability and random environments; reliability in composites and orthopedics, and reliability in finance and forensics. Embedded within the above are some of the other currently active topics such as causality, cascading, exchangeability, expert testimony, hierarchical modeling, optimization and survival analysis. These topics, when linked with utility theory, constitute the science base of risk analysis.


Table of Contents

Philip J. Boland and Francisco J. SamaniegoWay Kuo and Rajendra PrasadAndrew W. SwiftElja Arjas and Madhuchhanda BhattacharjeeKjell A. Doksum and Lancelot F. JamesEdsel A. Pena and Myles HollanderNader Ebrahimi and Ehsan S. SoofiVijay N. Nair and Luis A. Escobar and Michael S. HamadaAlyson G. Wilson and C. Shane Reese and Michael S. Hamada and Harry F. MartzHenry W. Block and Thomas H. SavitsUwe Jensen and Fabio SpizzichinoI. Robert Chiang and Lynn KuoSuleyman Ozekici and Refik SoyerJ. D. Lynch and W. J. PadgettSimon P. WilsonNicholas James LynnNozer D. Singpurwalla
Prefacep. ix
Contributing Authorsp. xiii
Part I Networks and Systems
1 The Signature of a Coherent Systemp. 3
1.1 Introductionp. 3
1.2 Related Conceptsp. 10
1.3 Comparison of Systems - Theoryp. 16
1.4 Comparison of Systems - Applicationsp. 18
1.5 Discussion and Conclusionsp. 25
2 System Reliability Optimization: An Overviewp. 31
2.1 Introductionp. 32
2.2 Redundancy Allocationp. 34
2.3 Optimal Reliability-Redundancy Allocationp. 41
2.4 Multi-Objective Optimization in Reliability System Designp. 43
2.5 Optimal Assignment of Components in Coherent Systemsp. 45
2.6 Discussionp. 47
3 Methods for Assessing Network Reliabilityp. 55
3.1 Introductionp. 55
3.2 Notation and Preliminariesp. 55
3.3 Probability Measures for Component Reliabilityp. 57
3.4 Identical Components and Borel's Paradoxp. 60
3.5 Calculating the Reliability of Networks with Unknown Structuresp. 61
3.6 Networks with Cascading Failuresp. 65
Part II Recurrent Events
4 Modelling Heterogeneity: Hierarchical Bayesian Approachp. 71
4.1 Introductionp. 72
4.2 Illustration 1: Valve Failures in Nuclear Power Plantsp. 74
4.3 Illustration 2: Repeated Occurrence of Relapsesp. 79
4.4 Concluding Remarksp. 82
5 Spatial Neutral to the Right Processesp. 87
5.1 Introductionp. 88
5.2 NTR, Levy and Other Processesp. 88
5.3 Spatial Neutral to the Right Processp. 91
5.4 Total Time on Test Transformp. 99
6 Models for Recurrent Events in Reliability and Survival Analysisp. 105
6.1 Introductionp. 105
6.2 Mathematical Frameworkp. 107
6.3 Existing Modelsp. 108
6.4 A New Class of Modelsp. 112
6.5 Statistical Identifiability Issuep. 118
Part III Information and Design
7 Information Functions for Reliabilityp. 127
7.1 Introductionp. 127
7.2 Discrimination Information Functionp. 128
7.3 Entropyp. 137
7.4 Mutual Informationp. 141
7.5 Information in Residual Lifetimep. 147
7.6 Information Statisticsp. 150
8 Experiments for Reliability Assessment and Improvementp. 161
8.1 Introductionp. 162
8.2 Accelerated Testing for Reliability Assessmentp. 163
8.3 Reliability Improvementp. 168
8.4 Reliability Assessment and Improvement with Degradation Datap. 174
9 Analysis of Computer and Physical Experimental Life Time Datap. 183
9.1 Introductionp. 184
9.2 The Basics of Data Integration Using RBHMp. 186
9.3 Ball Bearing Examplep. 189
9.4 Conclusionsp. 190
Part IV The Failure Rate Function and Burn-in
10 The Shape of Failure Rate Mixturesp. 197
10.1 Introductionp. 197
10.2 Limiting Failure Rates of Mixturesp. 199
10.3 Limiting Monotonicities of Failure Rates of Mixturesp. 200
10.4 Anomaliesp. 202
10.5 Mixtures of Linear Failure Ratesp. 203
10.6 Mixtures of Additive and Multiplicative Failure Ratesp. 204
10.7 Related Results on Bathtub Shapep. 204
11 Burn-in-Sequential Stop and Go Strategiesp. 207
11.1 Introductionp. 207
11.2 Sequential Burn-in for Different Components with Independent Life-timesp. 210
11.3 Sequential Burn-in for Similar Components with Dependent Life-timesp. 218
Part V Software Reliability and Random Environments
12 Managing Software Development Processp. 233
12.1 Introductionp. 233
12.2 Backgroundp. 235
12.3 Incremental Development Conceptp. 235
12.4 Derivation of the Basic Coordination Policyp. 236
12.5 Incremental Development under the Effect of System Size Growthp. 240
12.6 Conclusionp. 244
13 Reliability Modeling and Analysis in Random Environmentsp. 249
13.1 Introduction and Overviewp. 249
13.2 Continuous Time Models with Intrinsic Agingp. 252
13.3 Continuous Time Models in Software Reliability Engineeringp. 255
13.4 Discrete Time Modelsp. 262
Part VI Reliability in Composites and Orthopedics
14 Failure of Brittle Fibers and Compositesp. 277
14.1 Introductionp. 277
14.2 Failure Rate Properties of Strength Distributions of Load-Sharing Systemsp. 279
14.3 Cumulative Damage Models and Inference Proceduresp. 281
14.4 Examples: Tensile Strength of Materialsp. 285
15 Modeling the Reliability of Hip Replacementsp. 291
15.1 Introductionp. 291
15.2 Data and a Modelp. 292
15.3 Model Fitting and Checkingp. 293
15.4 Reliability Predictionp. 296
15.5 Conclusionsp. 299
Part VII Reliability in Finance and Forensics
16 The Price of Failurep. 303
16.1 Introductionp. 303
16.2 Financial Fundamentalsp. 304
16.3 Parameter Estimationp. 306
16.4 Derivativesp. 307
16.5 Application of Reliability Modelsp. 311
17 Warranty: A Surrogate of Reliabilityp. 317
17.1 Introduction: Terminologyp. 317
17.2 Equilibrium Probabilities and "Just" Warrantiesp. 318
17.3 Failure Models Indexed by Time and Usagep. 324
17.4 Forecasting Financial Reserves for Warranty Claimsp. 327
17.5 Summary and Conclusionsp. 330
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