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Synopsis
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.
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About the Author
Paul Garthwaite is in the Department of Statistics, Open University, UK. Ian Jolliffe is a Professor of Statistics, University of Aberdeen. Byron Jones is a Director, Research Statistics Unit, GlaxoSmithKline, UK.
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Statistical Inference (Oxford Science Publications)
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ISBN 13: 9780198572268
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Statistical Inference (Oxford Science Publications)
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Statistical Inference (Oxford Science Publications)
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Statistical Inference
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Condition: New. Statistical inference is the foundation on which much of statistical practice is built. This book covers the topic at a level suitable for students and professionals who need to understand these foundations. Num Pages: 342 pages, numerous tables and figures. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 168 x 32. Weight in Grams: 640. . 2002. 2nd Edition. hardcover. . . . . Seller Inventory # V9780198572268
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Hardcover. Condition: new. Hardcover. 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 androbust 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 beenupdated, and additional exercises are included in most chapters. Statistical inference is the foundation on which much of statistical practice is built. This book covers the topic at a level suitable for students and professionals who need to understand these foundations. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780198572268
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