Mathematical and Statistical Methods in Reliability

By: Kjell A Doksum (Editor), Bo H Lindqvist (Editor)

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Hardcover | 1 December 2002

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568 Pages

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22.86 x 15.88 x 3.18

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This book contains extended versions of 34 carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Trondheim, Norway in 2002. It provides a broad overview of current research activities in reliability theory and its applications. There are chapters on reliability modelling, network and system reliability, reliability optimization, survival analysis, degradation and maintenance modelling, and software reliability. The authors are all leading experts in the field. A particular feature of the book is a historical review by Professor Richard E Barlow, well known for his pioneering research on reliability. The list of authors also includes the plenary session speakers Odd O Aalen, Philip J Boland, Sallie A Keller-McNulty, and Nozer Singpurwalla.

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Preface
Contributors
Mathematical Reliability Theory: From the Beginning to the Present Time	p. 3
Reliability for the 21st Century	p. 15
On the Use of Models and Parameters in a Bayesian Setting	p. 33
Causal Influence Coefficients: A Localised Maximum Entropy Approach to Bayesian Inference	p. 45
Subjective Reliability Analysis Using Predictive Elicitation	p. 57
Copulae and Their Uses	p. 73
Linking Dominations and Signatures in Network Reliability Theory	p. 89
Improved Simulation Methods for System Reliability Evaluation	p. 105
Reliability of Multi-State Systems: A Historical Overview	p. 123
Waiting Times Associated with the Sum of Success Run Lengths	p. 141
Maximum Likelihood Prediction of Future Record Statistic	p. 159
Detecting Change Points on Different Information Levels	p. 177
The Reliability of Quadratic Dynamic Systems	p. 193
Inspection and Maintenance for Stochastically Deteriorating Systems	p. 201
A Look Behind Survival Data: Underlying Processes and Quasi-Stationarity	p. 221
On Some Properties of Dependence and Aging for Residual Lifetimes in the Exchangeable Case	p. 235
Efficient Computational Techniques for Power Systems Reliability Assessment	p. 251
Predicting Damage	p. 267
Weibull-Related Distributions for the Modelling of Bathtub Shaped Failure Rate Functions	p. 283
Estimation from Simultaneous Degradation and Failure Time Data	p. 301
Accelerated Destructive Degradation Tests: Data, Models, and Analysis	p. 319
Modelling Heterogeneity in Nuclear Power Plant Valve Failure Data	p. 341
Competing Risk Perspective on Reliability Databases	p. 355
Stochastic Modelling of the Joint Effect of Preventive and Corrective Maintenance on Repairable Systems Reliability	p. 371
Modeling the Influence of Maintenance Actions	p. 387
A Class of Tests for Renewal Process Versus Monotonic and Nonmonotonic Trend in Repairable Systems Data	p. 401
A Maintenance Model for Components Exposed to Several Failure Mechanisms and Imperfect Repair	p. 415
Empirical Plug-In Curve and Surface Estimates	p. 433
Some Exact and Approximate Confidence Regions for the Ratio of Percentiles from Two Different Distributions	p. 455
Empirical Estimators of Reliability and Related Functions for Semi-Markov Systems	p. 469
Classes of Fixed-Order and Adaptive Smooth Goodness-of-Fit Tests with Discrete Right-Censored Data	p. 485
Theoretical and Practical Challenges in Software Reliability and Testing	p. 505
On the Asymptotic Analysis of Littlewood's Reliability Model for Modular Software	p. 521
Adaptive Methods under Prediction Models for Software Reliability	p. 537
Table of Contents provided by Blackwell. All Rights Reserved.

Mathematical and Statistical Methods in Reliability

At a Glance

Hardcover

Shipping

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