Applied Multivariate Statistics With SAS Software, 2/e (Paperback)

Ravindra Khattree, Dayanand N. Naik

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Real-world problems and data sets are the backbone of this book, which provides a unique approach to the topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information about mixed effects models, applications of the MIXED procedure, regression diagnostics with the corresponding IML procedure code, and covariance structures. The authors' approach to the information will aid professors, researchers, and students in a variety of disciplines and industries. Extensive SAS code and the corresponding high-resolution output accompany sample problems, and clear explanations of SAS procedures are included. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both the theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. In addition, a quick introduction to the IML procedure with special reference to multivariate data is available in an appendix. SAS programs and output integrated with the text make it easy to read and follow the examples.

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本書的核心是現實世界的問題和數據集,提供了一種獨特的主題探討方式,整合了統計方法、數據分析和應用。經過廣泛修訂,本書新增了有關混合效應模型、MIXED 程序的應用、回歸診斷及相應的 IML 程序代碼和協方差結構的新資訊。作者對這些資訊的處理將幫助各學科和行業的教授、研究人員和學生。書中附有大量的 SAS 代碼及相應的高解析度輸出,並包含對 SAS 程序的清晰解釋。重點在於正確解釋輸出,以得出有意義的結論。本書涵蓋的主題包括實驗數據和重複測量數據的多變量分析、數據的圖形表示(包括雙變量圖)以及多變量回歸。此外,附錄中提供了針對多變量數據的 IML 程序的快速介紹。與文本整合的 SAS 程序和輸出使得閱讀和跟隨範例變得簡單易懂。