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Bradley Efron - Introduction to the Bootstrap - 9780412042317 - V9780412042317
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Introduction to the Bootstrap

€ 180.78
FREE Delivery in Ireland
Description for Introduction to the Bootstrap 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.
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.

Product Details

Publisher
Taylor & Francis Ltd United States
Number of pages
456
Format
Hardback
Publication date
1994
Series
Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Condition
New
Number of Pages
456
Place of Publication
, United Kingdom
ISBN
9780412042317
SKU
V9780412042317
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2

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

Reviews for Introduction to the Bootstrap
"...an excellent book, and worth a reading by most students and practitioners in statistics... Throughout the book, the authors have spent a lot of effort in introducing difficult ideas in a simple, easy-to-understand manner..." - Hong Kong Statistical Society Newsletter "... written in a style that makes difficult statistical concepts easy to understand ...a wonderful text for the engineer ... Read more

Goodreads reviews for Introduction to the Bootstrap


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