Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics)

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Zbynek Sidak 作者
Academic Press
譯者
1999-04-12 出版日期
435 頁數
USD 103.00 價格
Hardcover
叢書系列
9780126423501 圖書編碼

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 圖書標籤: Statistics  數學和計算機  test  rank   


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Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 用戶評價

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68年的書還是很屌啊。

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68年的書還是很屌啊。

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68年的書還是很屌啊。

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68年的書還是很屌啊。

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68年的書還是很屌啊。

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 著者簡介


Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 著者簡介


Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Theory of Rank Tests, Second Edition (Probability and Mathematical Statistics) 在線電子書 圖書描述

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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