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Titlebook: Applied Multivariate Analysis; Ira H. Bernstein,Calvin P. Garbin,Gary K. Teng Book 1988 Springer-Verlag New York Inc. 1988 ANOVA.Factor an

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發(fā)表于 2025-3-21 18:36:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Applied Multivariate Analysis
影響因子2023Ira H. Bernstein,Calvin P. Garbin,Gary K. Teng
視頻videohttp://file.papertrans.cn/160/159976/159976.mp4
圖書(shū)封面Titlebook: Applied Multivariate Analysis;  Ira H. Bernstein,Calvin P. Garbin,Gary K. Teng Book 1988 Springer-Verlag New York Inc. 1988 ANOVA.Factor an
影響因子Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intel- lect gave birth to the field of multivariate analysis, such as Hotelling, Bartlett, and Wilks, and those who chose to "concentrate much of their attention on methods of analyzing data in the sciences and of interpreting the results of statistical analysis . . . . (and) . . . who are more interested in the sciences than in mathematics, among other characteristics. " I find the distinction between individuals who are temperamentally "mathe- maticians" (whom philosophy students might call "Platonists") and "scientists" ("Aristotelians") useful as long as it is not pushed to the point where one assumes "mathematicians" completely disdain data and "scientists" are never interested in contributing to the mathematical foundations of their discipline. I certainly feel more comfortable attempting to contrib
Pindex Book 1988
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發(fā)表于 2025-3-21 22:49:41 | 只看該作者
Einleitung und Aufgabenstellung,tly circular process is that a small number of linear combinations, which define a new set of variables, may be able to describe all or nearly all of the meaning of the larger set of original variables.
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發(fā)表于 2025-3-22 03:39:31 | 只看該作者
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發(fā)表于 2025-3-22 06:11:54 | 只看該作者
https://doi.org/10.1007/978-3-642-82886-7n the discussion of multiple regression—an important but contrasting model which assumed that the predictors were reliable. As was noted in the earlier discussion, small amounts of measurement error would not seriously impair the use of the regression model, but could produce spurious results when the predictors were highly unreliable.
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發(fā)表于 2025-3-22 10:09:56 | 只看該作者
Exploratory Factor Analysis,tly circular process is that a small number of linear combinations, which define a new set of variables, may be able to describe all or nearly all of the meaning of the larger set of original variables.
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發(fā)表于 2025-3-22 16:20:52 | 只看該作者
Profile and Canonical Analysis,rity of their vectors, .. However, it also appears indirectly whenever one wishes to make a linear combination obtained from one set of variables as similar as possible to a linear combination obtained from a second set of variables, which is the topic of ..
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發(fā)表于 2025-3-22 18:52:15 | 只看該作者
Analysis of Scales,n the discussion of multiple regression—an important but contrasting model which assumed that the predictors were reliable. As was noted in the earlier discussion, small amounts of measurement error would not seriously impair the use of the regression model, but could produce spurious results when the predictors were highly unreliable.
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發(fā)表于 2025-3-23 04:05:10 | 只看該作者
Book 1988ired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intel- lect gave birth to the field of multivariate analysis, such
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發(fā)表于 2025-3-23 07:47:50 | 只看該作者
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