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This book delves into the fundamental theoretical aspects of reliability analysis, focusing on various probabilistic models. These models are essential for representing random variations in underlying variables such as time-to-failure, the number of failures between consecutive repairs and similar metrics. The calculation, estimation and prediction of reliability all hinge on using appropriate probability models. The book introduces various models beneficial for researchers in the field of reliability. It also provides a comprehensive overview of the available models, highlighting their distinctive features and practical applications in a narrative format. The content of the book is designed to appeal to a broad readership. Students and researchers in the field of reliability analysis will find a comprehensive yet easily understandable summary of models applicable to their data sets of interest. It should be noted, however, As stated clearly in the preface, this book does not illustrate applications of the models discussed in terms of real-life data.
List of contents
1. Introduction.- 2. Properties of Life Distributions.- 3. Univariate Continuous Distributions.- 4. Some Discrete Distributions.- 5. Distributions Derived from the Parent Distribution.- 6. Finite Range Life Distributions.- 7. Ordering among Life Distributions .- 8. Classes of Life Distributions .- 9. Characterizations of Life Distributions .- 10. Distributions of Special Interest .- 11. Using an Appropriate Probability Model.
