The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional ...

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Características del artículo

Estado
En muy buen estado: Libro que se ha leído y que no tiene un aspecto nuevo, pero que está en un ...
Release Year
1987
Book Title
The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS...
ISBN
9780898711790
Categoría

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Product Identifiers

Publisher
Society for Industrial AND Applied Mathematics
ISBN-10
0898711797
ISBN-13
9780898711790
eBay Product ID (ePID)
351738

Product Key Features

Number of Pages
100 Pages
Publication Name
Jackknife, the Bootstrap and Other Resampling Plans
Language
English
Subject
Probability & Statistics / Stochastic Processes, Probability & Statistics / General, Numerical Analysis, Natural Language Processing
Publication Year
1982
Type
Textbook
Subject Area
Mathematics, Computers
Author
Bradley Efron
Series
Cbms-Nsf Regional Conference Series in Applied Mathematics Ser.
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
7.2 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
81-084708
TitleLeading
The
Series Volume Number
No. 38
Illustrated
Yes
Table Of Content
The Jackknife Estimate of Bias The Jackknife Estimate of Variance Bias of the Jackknife Variance Estimate The Bootstrap The Infinitesimal Jackknife The Delta Method and the Influence Function Cross-Validation, Jackknife and Bootstrap Balanced Repeated Replications (Half-Sampling) Random Subsampling Nonparametric Confidence Intervals.
Synopsis
The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made. This monograph connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and balanced repeated replications into a unified exposition. The theoretical development is at an easy mathematical level and is supplemented by a large number of numerical examples. The methods described in this monograph form a useful set of tools for the applied statistician. They are particularly useful in problem areas where complicated data structures are common, for example, in censoring, missing data, and highly multivariate situations., Connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and balanced repeated replications into a unified exposition. The theoretical development is at an easy mathematical level and is supplemented by a large number of numerical examples.
LC Classification Number
QA276.8 .E375 1982

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