Book description
This book provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It attempts to establish a gold standard for how a statistical analysis should proceed. The book illustrates relative belief theory using many examples and describes the strengths and weaknesses of the theory.
Table of contents
- Front Cover (1/2)
- Front Cover (2/2)
- Dedication
- Contents
- Preface
- Chapter 1 Statistical Problems (1/6)
- Chapter 1 Statistical Problems (2/6)
- Chapter 1 Statistical Problems (3/6)
- Chapter 1 Statistical Problems (4/6)
- Chapter 1 Statistical Problems (5/6)
- Chapter 1 Statistical Problems (6/6)
- Chapter 2 Probability (1/5)
- Chapter 2 Probability (2/5)
- Chapter 2 Probability (3/5)
- Chapter 2 Probability (4/5)
- Chapter 2 Probability (5/5)
- Chapter 3 Characterizing Statistical Evidence (1/9)
- Chapter 3 Characterizing Statistical Evidence (2/9)
- Chapter 3 Characterizing Statistical Evidence (3/9)
- Chapter 3 Characterizing Statistical Evidence (4/9)
- Chapter 3 Characterizing Statistical Evidence (5/9)
- Chapter 3 Characterizing Statistical Evidence (6/9)
- Chapter 3 Characterizing Statistical Evidence (7/9)
- Chapter 3 Characterizing Statistical Evidence (8/9)
- Chapter 3 Characterizing Statistical Evidence (9/9)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (1/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (2/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (3/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (4/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (5/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (6/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (7/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (8/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (9/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (10/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (11/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (12/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (13/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (14/15)
- Chapter 4 Measuring Statistical Evidence Using Relative Belief (15/15)
- Chapter 5 Choosing and Checking the Model and Prior (1/9)
- Chapter 5 Choosing and Checking the Model and Prior (2/9)
- Chapter 5 Choosing and Checking the Model and Prior (3/9)
- Chapter 5 Choosing and Checking the Model and Prior (4/9)
- Chapter 5 Choosing and Checking the Model and Prior (5/9)
- Chapter 5 Choosing and Checking the Model and Prior (6/9)
- Chapter 5 Choosing and Checking the Model and Prior (7/9)
- Chapter 5 Choosing and Checking the Model and Prior (8/9)
- Chapter 5 Choosing and Checking the Model and Prior (9/9)
- Chapter 6 Conclusions
- Appendix A The Definition of Density
- References (1/2)
- References (2/2)
- Index
- Back Cover
Product information
- Title: Measuring Statistical Evidence Using Relative Belief
- Author(s):
- Release date: June 2015
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781482242805
You might also like
book
Semialgebraic Statistics and Latent Tree Models
This book explains how to analyze statistical models with hidden (latent) variables. It takes a systematic, …
book
Practical Applications of Bayesian Reliability
Demonstrates how to solve reliability problems using practical applications of Bayesian models This self-contained reference provides …
book
Best Fit Lines & Curves
The text considers Simple Linear Regression and ask what is it doing? how good is it? …
book
GARCH Models, 2nd Edition
Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new …