ACORN 发表于 2025-3-21 17:39:34
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CHAID and XAID: Exploratory Techniques for Analyzing Extensive Data Sets,h examples of so-called AID procedures (Automatic Interaction Detection), according to which the outcome of a dependent variable . can be predicted on the basis of those predictors (independent variables) which contribute the most to the variation in ..Perennial长期的 发表于 2025-3-22 00:25:55
https://doi.org/10.1007/978-94-009-5946-0one, two or three dimensions at the most, the human eye is usually capable of observing any differences and interactions between rows and columns with the aid of geometrical distance comparisons. This simplifying process is commonly known as multidimensional scaling.杂色 发表于 2025-3-22 06:22:54
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https://doi.org/10.1007/978-94-015-3356-0nderlying probability distribution from which the sample derives. The level of significance in parametric testing and the confidence coefficient in parametric interval estimation are therefore valid only if the assumptions made in respect of the underlying probability distribution are actually correct.死猫他烧焦 发表于 2025-3-22 15:58:23
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Graphics for Selecting a Probability Model, between the two types of procedures concerns the fact that in dealing with non-parametric techniques few assumptions are made regarding the nature of the distribution of the population from which the sample is drawn. Parametric procedures, on the other hand, are based on specific knowledge of the u惹人反感 发表于 2025-3-22 21:54:00
Visual Representation of Multivariate Data,ta in two dimensions. Some of these techniques, such as Andrews’ curves and Chernoff faces, have captured the imagination of the research community (particularly the non-statisticians) and are currently enjoying widespread interest. Some ten representations will be discussed in this chapter and illumechanical 发表于 2025-3-23 03:03:07
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