In all likelihood : statistical modelling and inference using likelihood / Yudi Pawitan.

Format:

Book

Author/Creator:

Pawitan, Yudi, author.

Series:

Oxford science publications.

Oxford scholarship online.

Oxford science publications

Oxford scholarship online

Language:

English

Subjects (All):

Mathematical statistics.

Physical Description:

1 online resource (xiii, 528 p. ) : ill.

Place of Publication:

Oxford : Clarendon, 2023.

Summary:

Yudi Pawitan demonstrates what can be achieved using the Likelihood method of taking account of uncertainty when studying statistical problems. The real-world examples cited take advantage of the high power of current desktop computers.

Contents:

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.

Notes:

Previously issued in print: 2001.

Includes bibliographical references and index.

Derived record based on print version record and publisher information.

ISBN:

1-383-02169-4

0-19-850765-8

0-19-165058-7

0-19-165057-9

OCLC:

960758489