LEADER 05487nam 2200697 a 450 001 9910143553903321 005 20170815122506.0 010 $a1-280-82320-8 010 $a9786610823208 010 $a0-471-78947-X 010 $a0-471-78946-1 035 $a(CKB)1000000000355674 035 $a(EBL)287342 035 $a(OCoLC)476040362 035 $a(SSID)ssj0000104740 035 $a(PQKBManifestationID)11127854 035 $a(PQKBTitleCode)TC0000104740 035 $a(PQKBWorkID)10085413 035 $a(PQKB)11521186 035 $a(MiAaPQ)EBC287342 035 $a(EXLCZ)991000000000355674 100 $a20050901d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplied MANOVA and discriminant analysis$b[electronic resource] 205 $a2nd ed. 210 $aHoboken, N.J. $cWiley-Interscience$dc2006 215 $a1 online resource (524 p.) 225 1 $aWiley series in probability and statistics 300 $aRev. ed. of: Applied discriminant analysis. c1994. 311 $a0-471-46815-0 320 $aIncludes bibliographical references (p. 425-447) and index. 327 $aApplied MANOVA and Discriminant Analysis; Brief Contents; Contents; List of Figures; List of Tables; Preface to Second Edition; Acknowledgments; Preface to First Edition; Notation; I INTRODUCTION; 1 Discriminant Analysis in Research; 1.1 A Little History; 1.2 Overview; 1.3 Descriptive Discriminant Analysis; 1.4 Predictive Discriminant Analysis; 1.5 Design in Discriminant Analysis; 1.5.1 Grouping Variables; 1.5.2 Response Variables; Exercises; 2 Preliminaries; 2.1 Introduction; 2.2 Research Context; 2.3 Data, Analysis Units, Variables, and Constructs; 2.4 Summarizing Data 327 $a2.5 Matrix Operations2.5.1 SSCP Matrix; 2.5.2 Determinant; 2.5.3 Inverse; 2.5.4 Eigenanalysis; 2.6 Distance; 2.7 Linear Composite; 2.8 Probability; 2.9 Statistical Testing; 2.10 Judgment in Data Analysis; 2.11 Summary; Further Reading; Exercises; II ONE-FACTOR MANOVA/DDA; 3 Group Separation; 3.1 Introduction; 3.2 Two-Group Analyses; 3.2.1 Univariate Analysis; 3.2.2 Multivariate Analysis; 3.3 Test for Covariance Matrix Equality; 3.4 Yao Test; 3.5 Multiple-Group Analyses-Single Factor; 3.5.1 Univariate Analysis; 3.5.2 Multivariate Analysis; 3.6 Computer Application; 3.7 Summary; Exercises 327 $a4 Assessing MANOVA Effects4.1 Introduction; 4.2 Strength of Association; 4.2.1 Univariate; 4.2.2 Multivariate; 4.2.3 Bias; 4.3 Computer Application I; 4.4 Group Contrasts; 4.4.1 Univariate; 4.4.2 Multivariate; 4.5 Computer Application II; 4.6 Covariance Matrix Heterogeneity; 4.7 Sample Size; 4.8 Summary; Technical Notes; Exercises; 5 Describing MANOVA Effects; 5.1 Introduction; 5.2 Omnibus Effects; 5.2.1 An Eigenanalysis; 5.2.2 Linear Discriminant Functions; 5.3 Computer Application I; 5.4 Standardized LDF Weights; 5.5 LDF Space Dimension; 5.5.1 Statistical Tests; 5.5.2 Proportion of Variance 327 $a5.5.3 LDF Plots5.6 Computer Application II; 5.7 Computer Application III; 5.8 Contrast Effects; 5.9 Computer Application IV; 5.10 Summary; Technical Note; Further Reading; Exercises; 6 Deleting and Ordering Variables; 6.1 Introduction; 6.2 Variable Deletion; 6.2.1 Purposes of Deletion; 6.2.2 McCabe Analysis; 6.2.3 Computer Application; 6.3 Variable Ordering; 6.3.1 Meaning of Importance; 6.3.2 Computer Application I; 6.3.3 Variable Ranking; 6.4 Contrast Analyses; 6.5 Computer Application II; 6.6 Comments; Further Reading; Exercises; 7 Reporting DDA Results; 7.1 Introduction 327 $a7.2 Example of Reporting DDA Results7.3 Computer Package Information; 7.4 Reporting Terms; 7.5 MANOVA/DDA Applications; 7.6 Concerns; 7.7 Overview; Further Reading; Exercises; III FACTORIAL MANOVA, MANCOVA, AND REPEATED MEASURES; 8 Factorial MANOVA; 8.1 Introduction; 8.2 Research Context; 8.3 Univariate Analysis; 8.4 Multivariate Analysis; 8.4.1 Omnibus Tests; 8.4.2 Distribution Assumptions; 8.5 Computer Application I; 8.6 Computer Application II; 8.7 Nonorthogonal Design; 8.8 Outcome Variable Ordering and Deletion; 8.9 Summary; Technical Notes; Exercises; 9 Analysis of Covariance 327 $a9.1 Introduction 330 $aA complete introduction to discriminant analysis--extensively revised, expanded, and updated This Second Edition of the classic book, Applied Discriminant Analysis, reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis. Thoroughly updated and revised, this book continues to be essential for any researcher or student needing to learn to speak, read, and write about discriminant analysis as well as develop a philosophy of empirical research and data analysis. Its thorough introduction to the application of discriminant an 410 0$aWiley series in probability and statistics. 606 $aDiscriminant analysis 606 $aMultivariate analysis 608 $aElectronic books. 615 0$aDiscriminant analysis. 615 0$aMultivariate analysis. 676 $a519.535 686 $a31.73$2bcl 686 $a83.03$2bcl 700 $aHuberty$b Carl J.$f1934-$0116664 701 $aOlejnik$b Stephen$0893550 701 $aHuberty$b Carl J.$f1934-$0116664 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143553903321 996 $aApplied MANOVA and discriminant analysis$91996087 997 $aUNINA