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Statistical Inference


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Table of Contents

1: Introduction 2: Properties of estimators 3: Maximum likelihood and other methods of estimation 4: Hypothesis testing 5: Interval estimation 6: The decision theory approach to inference 7: Bayesian inference 8: Non-parametric and robust inference 9: Computationally intensive methods 10: Generalised linear models


... clearly structured and reasonably compact ... should be useful for reference purposes. There is a carefully chosen bibliography and, whilst the subject matter is quite advanced, it is coherently argued throughout and can be thoroughly recommended. The Mathematical Gazette This book is easy to read and is designed to be an advanced level textbook for senior undergraduate students ... a useful, comprehensive reference for practising statisticians. Zentralblatt MATH

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