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樓主
發(fā)表于 2025-3-21 17:39:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Graphical Exploratory Data Analysis
編輯S. H. C. Toit,A. G. W. Steyn,R. H. Stumpf
視頻videohttp://file.papertrans.cn/389/388099/388099.mp4
叢書名稱Springer Texts in Statistics
圖書封面Titlebook: ;
出版日期Textbook 1986
版次1
doihttps://doi.org/10.1007/978-1-4612-4950-4
isbn_softcover978-1-4612-9371-2
isbn_ebook978-1-4612-4950-4Series ISSN 1431-875X Series E-ISSN 2197-4136
issn_series 1431-875X
The information of publication is updating

書目名稱Graphical Exploratory Data Analysis影響因子(影響力)




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沙發(fā)
發(fā)表于 2025-3-21 22:19:09 | 只看該作者
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 ..
板凳
發(fā)表于 2025-3-22 00:25:55 | 只看該作者
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.
地板
發(fā)表于 2025-3-22 06:22:54 | 只看該作者
5#
發(fā)表于 2025-3-22 10:49:45 | 只看該作者
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.
6#
發(fā)表于 2025-3-22 15:58:23 | 只看該作者
7#
發(fā)表于 2025-3-22 18:09:37 | 只看該作者
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
8#
發(fā)表于 2025-3-22 21:54:00 | 只看該作者
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 illu
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發(fā)表于 2025-3-23 03:03:07 | 只看該作者
10#
發(fā)表于 2025-3-23 07:00:13 | 只看該作者
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