The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data).
The book describes the most recent theoretical developments of this model, including properties, transformations and related distributions, lifetime analysis, and shape analysis. It discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the Birnbaum-Saunders distribution, also presenting existing and future applications.
- Introduces inference in the Birnbaum-Saunders distribution
- Provides a comprehensive review of the statistical theory and methodology of the Birnbaum-Distribution
- Discusses different applications of the Birnbaum-Saunders distribution
- Explains characterization and the lifetime analysis
1. Genesis of the Birnbaum-Saunders Distribution 2. Characterizations of the Birnbaum-Saunders Distribution 3. Inference for the Birnbaum-Saunders Distribution 4. Modeling Based on the Birnbaum-Saunders Distribution 5. Goodness of Fit for the Birnbaum-Saunders Distribution? 6. Data Analyses with the Birnbaum-Saunders Distribution
This book provides a comprehensive review of the statistical theory, methodology, and applications of the Birnbaum-Distribution, presenting information on a very flexible distribution for modeling different types of data (mainly lifetime data).
...an overview of the Birnbaum-Saunders distribution (also known as the fatigue-life distribution) and some of its probabilistic and statistical features, as well as its extension to regression analysis, diagnostics, and goodness of fit. --Zentralblatt MATH
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