Yudi Pawitan (, Professor of Statistics, Department of Statistics,

In All Likelihood

Statistical Modelling and Inference Using Likelihood

• Broschiertes Buch

Produktbeschreibung

This book introduces likelihood as a unifying concept in statistical modelling and inference. The complete range of concepts and applications are covered, from very simple to very complex studies. It relies on realistic examples, and presents the main results using heuristic rather than formal mathematical arguments.

Produktdetails

• Verlag: Oxford University Press
• Seitenzahl: 544
• Erscheinungstermin: 1. März 2013
• Englisch
• Abmessung: 236mm x 156mm x 32mm
• Gewicht: 796g
• ISBN-13: 9780199671229
• ISBN-10: 0199671222
• Artikelnr.: 36649172

Autorenporträt

Yudi Pawitan is a Professor in the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden

Inhaltsangabe

1: Introduction
2: Elements of likelihood inference
3: More properties of the likelihood
4: Basic models and simple applications
5: Frequentist properties
6: Modelling relationships: regression models
7: Evidence and the likelihood principle
8: Score function and Fisher information
9: Large Sample Results
10: Dealing with nuisance parameters
11: Complex data structure
12: EM Algorithm
13: Robustness of likelihood specification
14: Estimating equation and quasi-likelihood
15: Empirical likelihood
16: Likelihood of random parameters
17: Random and mixed effects models
18: Nonparametric smoothing