Statistical Inference

ISBN-10: 0198572263
ISBN-13: 9780198572268
Edition: 2nd 2002
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Description: Adopting a broad view of statistical inference, the text concentrates on what various techniques do, with mathematical proof kept to a minimum. The approach is rigorous but accessible to final year undergraduates. Classical approaches to point  More...

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Book details

Edition: 2nd
Copyright year: 2002
Publisher: Oxford University Press, Incorporated
Publication date: 8/29/2002
Binding: Hardcover
Pages: 352
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.342
Language: English

Adopting a broad view of statistical inference, the text concentrates on what various techniques do, with mathematical proof kept to a minimum. The approach is rigorous but 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 generalized linear models are also included. In this edition, the material on recent developments has been updated, and additional exercises are included in most chapters.

Introduction
Properties of estimators
Maximum likelihood and other methods of estimation
Hypothesis testing
Interval estimation
The decision theory approach to inference
Bayesian inference
Non-parametric and robust inference
Computationally intensive methods
Generalised linear models

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