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发表于 2025-3-21 17:39:34 | 显示全部楼层 |阅读模式
书目名称Graphical Exploratory Data Analysis
编辑S. H. C. Toit,A. G. W. Steyn,R. H. Stumpf
视频video
丛书名称Springer Texts in Statistics
图书封面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

书目名称Graphical Exploratory Data Analysis影响因子(影响力)




书目名称Graphical Exploratory Data Analysis影响因子(影响力)学科排名




书目名称Graphical Exploratory Data Analysis网络公开度




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书目名称Graphical Exploratory Data Analysis被引频次




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书目名称Graphical Exploratory Data Analysis读者反馈学科排名




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发表于 2025-3-21 22:19:09 | 显示全部楼层
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 ..
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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.
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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.
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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
发表于 2025-3-22 21:54:00 | 显示全部楼层
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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