An Introduction to the Bootstrap

An Introduction to the Bootstrap
Author: Bradley Efron
Publisher: CRC Press
Total Pages: 456
Release: 1994-05-15
Genre: Mathematics
ISBN: 9780412042317


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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.


An Introduction to the Bootstrap
Language: en
Pages: 456
Authors: Bradley Efron
Categories: Mathematics
Type: BOOK - Published: 1994-05-15 - Publisher: CRC Press

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Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a form
Bootstrap Methods and Their Application
Language: en
Pages: 606
Authors: A. C. Davison
Categories: Computers
Type: BOOK - Published: 1997-10-28 - Publisher: Cambridge University Press

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Disk contains the library functions and documentation for use with Splus for Windows.
Bootstrap Methods
Language: en
Pages: 256
Authors: Gerhard Dikta
Categories: Mathematics
Type: BOOK - Published: 2021-08-10 - Publisher: Springer Nature

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This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear reg
Bootstrap Methods
Language: en
Pages: 337
Authors: Michael R. Chernick
Categories: Mathematics
Type: BOOK - Published: 2011-09-23 - Publisher: John Wiley & Sons

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A practical and accessible introduction to the bootstrap method——newly revised and updated Over the past decade, the application of bootstrap methods to new
An Introduction to Bootstrap Methods with Applications to R
Language: en
Pages: 318
Authors: Michael R. Chernick
Categories: Mathematics
Type: BOOK - Published: 2014-08-21 - Publisher: John Wiley & Sons

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A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, a