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书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0141491<br><br> <br><br>书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0141491<br><br> <br><br>书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0141491<br><br> <br><br>书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0141491<br><br> <br><br>书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0141491<br><br> <br><br>书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0141491<br><br> <br><br>书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0141491<br><br> <br><br>书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0141491<br><br> <br><br>书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0141491<br><br> <br><br>书目名称A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0141491<br><br> <br><br>intimate 发表于 2025-3-21 21:35:35
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Rural New England in Time and Placepe I errors and power of Box’s M method are presented. In the randomly-incomplete-data case, a new method is proposed. This method uses the False Discovery Rate (FDR) algorithm of Benjamini and Hochberg (J. R. Stat. Soc. Series B. ., 1289–1300, 1995). The Type I errors and power in the randomly-incoterazosin 发表于 2025-3-22 13:49:40
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https://doi.org/10.1007/978-1-4614-6443-3Fisher-Behrens Problem; SAS; covariance matrices; multiple-testing; multivariate analysis; simulation附录 发表于 2025-3-23 01:16:54
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Rural Life and Historical Archaeologyncomplete data is considered in the rest of the chapters, we thereafter clarify the idea of “missing at random (MAR)” and “missing completely at random (MCAR).” In particular, we demonstrate that if variables in a data set are all mutually dependent, then an assumption of MAR is equivalent to the assumption of MCAR.SHOCK 发表于 2025-3-23 06:36:22
Rural New England in Time and Placeics and the Henze–Zirkler statistic. Type I errors and power are demonstrated using simulations in both the complete-data and the randomly-incomplete-data cases. In the randomly-incomplete-data case, we use Sidak’s method for multiple testing. Examples are also provided.