The Jackknife and Bootstrap (Springer Series in Statistics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Jun Shao 作者

Springer

译者

1996-09-12 出版日期

534 页数

USD 119.00 价格

Hardcover

Springer Series in Statistics 丛书系列

9780387945156 图书编码

The Jackknife and Bootstrap (Springer Series in Statistics) 在线电子书图书标签: 统计学数学 jacknife bootstrap 统计

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The Jackknife and Bootstrap (Springer Series in Statistics) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

The Jackknife and Bootstrap (Springer Series in Statistics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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The Jackknife and Bootstrap (Springer Series in Statistics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

The Jackknife and Bootstrap (Springer Series in Statistics) 在线电子书图书描述

The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysis. This book provides a systematic introduction to the theory of the jackknife, bootstrap and other resampling methods that have been developed in the last twenty years. It aims to provide a guide to using these methods which will enable applied statisticians to feel comfortable in applying them to data in their own research. The authors have included examples of applying these methods in various applications in both the independent and identically distributed (iid) case and in more complicated cases with non-iid data sets. Readers are assumed to have a reasonable knowledge of mathematical statistics and so this will be made suitable reading for graduate students, researchers and practitioners seeking a wide-ranging survey of this important area of statistical theory and application.

The Jackknife and Bootstrap (Springer Series in Statistics) 在线电子书下载 mobi epub pdf txt 在线电子书下载

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