{"product_id":"applied-multivariate-statistics-with-sas-software-2e-multivariate-data-reduction-and-discrimination-with-sas-software-set-revised-1st-ed","title":"Applied Multivariate Statistics with SAS Software, 2e + Multivariate Data Reduction and Discrimination with SAS Software Set (Revised) (1ST ed.)","description":"\n\u003ctable align=\"center\" border=\"0\" cellpadding=\"2\" cellspacing=\"0\" width=\"100%\"\u003e\n\u003ctr\u003e\n\u003ctd class=\"productDetailSmallElements\"\u003e\n\u003cp\u003e\n\u003cstrong\u003eBiographical Note\u003c\/strong\u003e:\u003cbr\u003e\n\u003c\/p\u003e\n\u003cp\u003eRavindra Khattree is an Indian-American statistician and professor of statistics at Oakland University. His contribution to the Fountain-Khattree-Peddada Theorem in Pitman measure of closeness is one of the important results of his work. Khattree is the coauthor of two books and has coedited two volumes. Dayanand N. Naik is the author of Applied Multivariate Statistics With SAS Software, Second Edition + Multivariate Data Reduction and Discrimination with SAS Software Set, published by Wiley.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTable of Contents\u003c\/strong\u003e:\u003cbr\u003e\n\t\t\t\t\t\t\t\tMultivariate Analysis Concepts. \n\u003cbr\u003e\n\u003cbr\u003eGraphical Representation of Multivariate Data. \n\u003cbr\u003e\n\u003cbr\u003eMultivariate Regression. \n\u003cbr\u003e\n\u003cbr\u003eMultivariate Analysis of Experimental Data. \n\u003cbr\u003e\n\u003cbr\u003eAnalysis of Repeated Measures Data. \n\u003cbr\u003e\n\u003cbr\u003eAnalysis of Repeated Measures Using Mixed Models. \n\u003cbr\u003e\n\u003cbr\u003eReferences. \n\u003cbr\u003e\n\u003cbr\u003eAppendices. \n\u003cbr\u003e\n\u003cbr\u003eIndex. \n\u003cbr\u003e\n\u003cbr\u003e\n\u003cb\u003eTOC for Software: \u003c\/b\u003e\n\u003cbr\u003e\n\u003cbr\u003eBasic Concepts for Multivariate Statistics. \n\u003cbr\u003e\n\u003cbr\u003ePrincipal Component Analysis. \n\u003cbr\u003e\n\u003cbr\u003eCanonical Correlation Analysis. \n\u003cbr\u003e\n\u003cbr\u003eFactor Analysis. \n\u003cbr\u003e\n\u003cbr\u003eDiscriminant Analysis. \n\u003cbr\u003e\n\u003cbr\u003eCluster Analysis. \n\u003cbr\u003e\n\u003cbr\u003eCorrespondence Analysis. \n\u003cbr\u003e\n\u003cbr\u003eAppendix. \n\u003cbr\u003e\n\u003cbr\u003eReferences. \n\u003cbr\u003e\n\u003cbr\u003eIndex.\u003cbr\u003e\u003cbr\u003e\n\n\u003cbr\u003e\n\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n","brand":"Wiley-Interscience","offers":[{"title":"Default Title","offer_id":51502652621078,"sku":"9780470388051","price":220.74,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0857\/9910\/8886\/files\/9780470388051.jpg?v=1783312305","url":"https:\/\/lusper.myshopify.com\/products\/applied-multivariate-statistics-with-sas-software-2e-multivariate-data-reduction-and-discrimination-with-sas-software-set-revised-1st-ed","provider":"Lusperbooks","version":"1.0","type":"link"}