1994. 1st Edition. Hardcover. An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises. Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability. Num Pages: 456 pages, references. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 235 x 159 x 28. Weight in Grams: 742. . . . . .

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Bibliographic Details

Title: Introduction to the Bootstrap
Publisher: Taylor & Francis Ltd
Publication Date: 1994
Language: English
ISBN 10: 0412042312
ISBN 13: 9780412042317
Binding: Hardcover
Edition: 1st Edition
Condition: New

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Synopsis

Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.

About the Author

Bradley Efron, Department of Statistics Stanford University and Robert J. Tibshirani, Department of Preventative Medicine and Biostatistics and Department of Statistics, University of Toronto.

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