| 期刊全稱 | Applied Multivariate Statistics with R | | 影響因子2023 | Daniel Zelterman | | 視頻video | http://file.papertrans.cn/160/159987/159987.mp4 | | 發(fā)行地址 | Approach to multivariate statistics for diverse applications that does not require advanced degree in statistics.R is used throughout for statistical analyses and computing, but prior experience with | | 學(xué)科分類 | Statistics for Biology and Health | | 圖書封面 |  | | 影響因子 | .This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program. R., Professor 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. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and .R. implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those need | | Pindex | Book 20151st edition |
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