窃喜
发表于 2025-3-26 21:34:33
Liang Yun,Alan Bliault,Huan Zong Rongervations of a variable vector . in .. That is, we suppose that each observation .. has . dimensions: . and that it is an observed value of a variable vector .. Therefore, . is composed of . random variables: . where .., for .=1,…,., is a one-dimensional random variable. How do we begin to analyse t
猛击
发表于 2025-3-27 01:52:59
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我们的面粉
发表于 2025-3-27 06:17:07
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枪支
发表于 2025-3-27 09:27:49
Liang Yun,Alan Bliault,Huan Zong Ronghe tools and concepts of multivariate data analysis with a strong focus on applications. The text is devided into three parts. The first part is devoted to graphical techniques describing the distributions of the involved variables. The second part deals with multivariate random variables and presen
假设
发表于 2025-3-27 15:26:18
Liang Yun,Alan Bliault,Huan Zong Rongt Analysis are dominantly used tools. In many applied sciences data is recorded as ranked information. For example, in marketing, one may record “product A is better than product B”. High-dimensional observations therefore often have mixed data characteristics and contain relative information (w.r.t
inhibit
发表于 2025-3-27 20:34:59
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轻弹
发表于 2025-3-27 22:41:34
Liang Yun,Alan Bliault,Huan Zong Rong(statistical inference). Multivariate statistics is an extension of univariate (one variable) or bivariate (two variables) statistics. It allows a single test instead of many different univariate and bivariate test when a large number of variables are being investigated.
推崇
发表于 2025-3-28 05:13:51
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代理人
发表于 2025-3-28 10:10:47
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称赞
发表于 2025-3-28 11:06:47
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