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Titlebook: Applied Multivariate Statistics with R; Daniel Zelterman Book 2022Latest edition Springer Nature Switzerland AG 2022 R software.clustering

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發(fā)表于 2025-3-21 19:04:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Multivariate Statistics with R
影響因子2023Daniel Zelterman
視頻videohttp://file.papertrans.cn/160/159988/159988.mp4
發(fā)行地址Offers an applied approach to multivariate statistics.Introduces R and draws upon R for statistical analyses and computing.Contains exercises, full code to carry out practical examples, and selected s
學(xué)科分類Statistics for Biology and Health
圖書封面Titlebook: Applied Multivariate Statistics with R;  Daniel Zelterman Book 2022Latest edition Springer Nature Switzerland AG 2022 R software.clustering
影響因子.Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program. R., Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and .R. implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with .R. is not necessary..New to this edition are chapters devoted to longitudinal studies and theclustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work..
Pindex Book 2022Latest edition
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發(fā)表于 2025-3-21 23:08:47 | 只看該作者
1431-8776 large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work..978-3-031-13007-6978-3-031-13005-2Series ISSN 1431-8776 Series E-ISSN 2197-5671
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Factor Methods, basis of modeling means and covariances. The covariances describe the multivariate relationship between pairs of individual attributes. In this chapter, we go further and describe methods for identifying relationships between several variables concurrently. In the following chapter, we will use regression methods to model the means.
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Applied Multivariate Statistics with R978-3-031-13005-2Series ISSN 1431-8776 Series E-ISSN 2197-5671
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https://doi.org/10.1007/978-3-642-51627-6stinguish between these groups? It is not good enough to simply say the mean of one variable is statistically higher in one group in order to solve this problem, because the histograms of the groups may have considerable overlap making the discriminatory process only a little better than guesswork.
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發(fā)表于 2025-3-23 06:37:50 | 只看該作者
Daniel ZeltermanOffers an applied approach to multivariate statistics.Introduces R and draws upon R for statistical analyses and computing.Contains exercises, full code to carry out practical examples, and selected s
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