小客车
发表于 2025-3-21 16:46:09
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Petechiae
发表于 2025-3-21 20:54:51
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Relinquish
发表于 2025-3-22 01:49:31
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绿州
发表于 2025-3-22 04:57:39
On a Generalisation of the Covariance Matrix of the Multinomial Distribution,bution”. On the first page was the handwritten message: “Lieber Herr Trenkler, vielleicht interessiert Sie diese Arbeit! Ihr HN.” In fact, I found this paper, Neudecker (1995), so impressive that it motivated me to work on the same topic, namely the covariance of the multinomial distribution and rel
LANCE
发表于 2025-3-22 10:18:48
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反应
发表于 2025-3-22 15:06:49
Dual Scaling and Correspondence Analysis of Rank Order Data,(1984), Greenacre (1984). Typically, the data one subjects to either correspondence analysis or dual scaling are in the format of a so-called contingency matrix, i.e. a matrix consisting of frequencies of co-occurrences. There exist however modifications of the methods that make it possible to analy
神刊
发表于 2025-3-22 17:29:56
Continuous Extensions of Matrix Formulations in Correspondence Analysis, with Applications to the Ftween rows and columns. To be specific, correspondence analysis visualises the so-called ., which is the discrete bivariate density obtained by dividing . by its grand total .: . = (1/.).. A continuous extension of CA can be obtained by replacing . with a bivariate probability density .(., .). The m
混合,搀杂
发表于 2025-3-23 00:17:16
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离开
发表于 2025-3-23 01:49:50
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faculty
发表于 2025-3-23 07:00:20
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