
The Birnbaum-Saunders Distribution
Description
Key Features
- 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
Readership
Graduate engineering students, practicing engineers, quality engineers, reliability engineers, consultants
Table of Contents
Chapter 1: Genesis of the Birnbaum–Saunders Distribution
- Abstract
- 1.1 Introduction
- 1.2 History
- 1.3 Fatigue, genesis, and derivation
- 1.4 Applications
Chapter 2: Characterizations of the Birnbaum–Saunders Distribution
- Abstract
- 2.1 Introduction
- 2.2 Probability functions and properties
- 2.3 Characteristic function and moments
- 2.4 Generation of random numbers
Chapter 3: Inference for the Birnbaum–Saunders Distribution
- Abstract
- 3.1 Introduction
- 3.2 Maximum likelihood estimation method
- 3.3 Moment estimation method
- 3.4 Graphical estimation method
Chapter 4: Modeling Based on the Birnbaum–Saunders Distribution
- Abstract
- 4.1 Introduction
- 4.2 The log-Birnbaum–Saunders distribution
- 4.3 Regression models
- 4.4 Diagnostic methods
Chapter 5: Goodness of Fit for the Birnbaum–Saunders Distribution
- Abstract
- 5.1 Introduction
- 5.2 Goodness of fit based on moments
- 5.3 Model selection
- 5.4 Probability plots
Chapter 6: Data Analyses with the Birnbaum–Saunders Distribution
- Abstract
- 6.1 Introduction
- 6.2 Data sets
- 6.3 Software
- 6.4 Modeling and diagnostics with real-world data
Product details
- No. of pages: 154
- Language: English
- Copyright: © Academic Press 2015
- Published: October 22, 2015
- Imprint: Academic Press
- Paperback ISBN: 9780128037690
- eBook ISBN: 9780128038277
About the Author
Victor Leiva
Affiliations and Expertise
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