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Titlebook: Applied Multivariate Statistics with R; Daniel Zelterman Book 20151st edition Springer International Publishing Switzerland 2015 R softwar

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樓主: 劉興旺
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發(fā)表于 2025-3-23 12:15:41 | 只看該作者
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發(fā)表于 2025-3-24 01:05:57 | 只看該作者
,Abkürzungen und Formelgr?ssen,ion. The mathematics is generally more dense and relies on the linear algebra notation covered in Chap.?4 In Sect.?4.5 we pointed out there is a limit on what computations we can reasonably perform by hand. For this reason, we illustrate these various operations with the help of ..
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發(fā)表于 2025-3-24 02:20:23 | 只看該作者
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發(fā)表于 2025-3-24 13:16:04 | 只看該作者
https://doi.org/10.1007/978-3-658-07274-2. by data. How is multivariate data analysis different from more familiar univariate methods? This chapter provides a summary of most of the major topics covered in this book. We also want to provide advocacy for the multivariate methods developed.
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發(fā)表于 2025-3-24 16:31:35 | 只看該作者
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發(fā)表于 2025-3-24 22:39:54 | 只看該作者
Schnellbestimmung von Sulfaten im Kalkstein,. is central to much of statistics. In this chapter and the two following, we develop the normal model from the univariate, bivariate, and then, finally, the more general distribution with an arbitrary number of dimensions.
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發(fā)表于 2025-3-24 23:47:08 | 只看該作者
Schnellbestimmung von Sulfaten im Kalkstein,. helps us make the important leap from the univariate normal to the more general multivariate normal distribution. To accomplish this, we need to make the transition from the scalar univariate notation of the previous chapter to the matrix notation of the following chapter.
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