Introduction to the Bootstrap

Bradley Efron

ISBN 10: 0412042312 / ISBN 13: 9780412042317

Edité par Taylor & Francis Ltd, 1993

A propos de cet article

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. . . . . . Books ship from the US and Ireland.

N° de réf. du vendeur V9780412042317

Détails bibliographiques

• Titre: Introduction to the Bootstrap
• Éditeur: Taylor & Francis Ltd
• Date de parution: 1993
• Langue: anglais
• ISBN à 10 chiffres: 0412042312
• ISBN à 13 chiffres: 9780412042317
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

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.

À propos de l?auteur

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