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Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics)
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简体网页||繁体网页
Zbynek Sidak 作者
Academic Press
译者
1999-04-12 出版日期
435 页数
USD 103.00 价格
Hardcover
丛书系列
9780126423501 图书编码

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在线电子书 图书标签: Statistics  数学和计算机  test  rank   

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Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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68年的书还是很屌啊。

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68年的书还是很屌啊。

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68年的书还是很屌啊。

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在线电子书 著者简介

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在线电子书 图书目录

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在线电子书 图书描述

The first edition of "Theory of Rank Tests" (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. It includes topics such as asymptotic methods, nonparametrics, convergence of probability measures and statistical inference.

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