Practical Methods for Reliability Data Analysis

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Clarendon Press, 1994 - Mathematics - 240 pages
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This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis.
 

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Contents

Introduction to reliability
1
Lifetime distributions
27
Analysis of lifetimes with covariates
57
System reliability
85
Models for repairable systems
109
Analysis of repairable systems
133
Growth and adaptive models
151
Dependency analysis
167
Practical aspects of reliability data analysis
185
Case studies in reliability
199
Appendix
217
Author index
233
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About the author (1994)

J. I. Ansell is at University of Edinburgh. M. J. Phillips is at University of Leicester.

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