An Introduction to the Bootstrap - Efron, Tibshirani - Monographs on Statistics

$ 10.54

Series: Chapman and Hall/Crc Monographs ISBN: 0412042312 Item Width: 6.5 in Publication Name: Introduction to the Bootstrap Number of Pages: 436 Pages Language: English Item Length: 9 in Item Weight: 20.4 Oz Type: Textbook Author: Bradley Efron, R. J. Tibshirani height: 1.2 in width: 6.5 in Format: Hardcover Subject: Probability & Statistics / General Publication Year: 1993 Publisher: CRC Press LLC Item Height: 1.2 in Subject Area: Mathematics

Description

An Introduction to the Bootstrap - Efron, Tibshirani - Monographs on Statistics. Statistics is a subject of many uses and surprisingly few effective practitioners. 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. Chapman & Hall/CRC Monographs on Statistics and Applied Probability 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. Review "...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 who would like to apply and understand the many different bootstrap techniques that have appeared in the literature in the last fifteen years. It makes an excellent reference text that should grace the shelves of both statisticians and non-statisticians." - Journal of Quality Technology 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.