Affiliation:
1. Professor of Statistics The Open University Milton Keynes, UK
2. Professor of Statistics University of Aberdeen Aberdeen, UK
3. Director, Research Statistics Unit GlaxoSmithKline Harlow, UK
Abstract
Abstract
Adopting a broad view of statistical inference, this text concentrates on what various techniques do, with mathematical proofs kept to a minimum. The approach is rigorous, but will be accessible to final year undergraduates. Classical approaches to point estimation, hypothesis testing and interval estimation are all covered thoroughly, with recent developments outlined. Separate chapters are devoted to Bayesian inference, to decision theory and to non-parametric and robust inference. The increasingly important topics of computationally intensive methods and generalised linear models are also included. In this edition, the material on recent developments has been updated, and additional exercises are included in most chapters.
Publisher
Oxford University PressOxford
Cited by
7 articles.
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