This book provides an introduction to the modern theory of likelihood-based statistical inference. This theory is charac
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English Pages 195 Year 2001
Table of contents :
1 Some Basic Concepts
2 Large-sample Approximations
3 Likelihood
4 First-order Asymptotic Theory
5 High-order Asymptotic Theory
6 Asymptotic Theory and Conditional Inference
7 The Signed Likelihood Ratio Statistic
8 Likelihood Functions for A Parameter of Interest
9 The Modified Profile Likelihood Function
Appendix: Data Set Used in the Examples