This book sets out an integrated approach to statistical inference using the likelihood function as the primary measure of evidence for statistical model parameters, and for the statistical models themselves. The author provides bothan alternative to standard Bayesian inference and the foundation for a coursesequence in modern Bayesian theory at the graduate or advanced undergraduate level. The restriction of the book to evidence is deliberate: there are already many books on Bayesian and non-Bayesian decision theory, and the purpose of this one is less ambitious, but perhaps more relevant scientifically, in providing a detailed prescription for the assessment of statistical evidence.
- ISBN: 978-1-4200-9343-8
- Editorial: Chapman & Hall/CRC Statistics and Mathem
- Encuadernacion: Cartoné
- Páginas: 254
- Fecha Publicación: 01/06/2010
- Nº Volúmenes: 1
- Idioma: Inglés