Statistical Inference

Statistical Inference

By: Paul H. Garthwaite (author), Ian T. Jolliffe (author), Byron Jones (author)Hardback

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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.


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

Product Details

  • ISBN13: 9780198572268
  • Format: Hardback
  • Number Of Pages: 342
  • ID: 9780198572268
  • weight: 601
  • ISBN10: 0198572263

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