{"product_id":"applied-manova-and-discriminant-analysis-9780471468158","title":"Applied MANOVA and Discriminant Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eA complete introduction to discriminant analysis--extensively revised, expanded, and updated\u003c\/b\u003e  \u003cp\u003eThis \u003ci\u003eSecond Edition\u003c\/i\u003e of the classic book, \u003ci\u003eApplied Discriminant Analysis\u003c\/i\u003e, reflects and references current usage with its new title, \u003ci\u003eApplied MANOVA and Discriminant Analysis\u003c\/i\u003e. 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 analysis is unparalleled.\u003c\/p\u003e \u003cp\u003eOffering the most up-to-date computer applications, references, terms, and real-life research examples, the \u003ci\u003eSecond Edition\u003c\/i\u003e also includes new discussions of MANOVA, descriptive discriminant analysis, and predictive discriminant analysis. Newer SAS macros are included, and graphical software with data sets and programs are provided on the book''s related Web s\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"…This is a valuable addition to the literature on MANOVA and DA, with emphasis on applications.\" (\u003ci\u003eZentralblatt MATH\u003c\/i\u003e, 2007)  \u003c\/p\u003e\u003cp\u003e\"…a useful addition to the literature…I am very happy to have this book on my shelf.\" (\u003ci\u003eJournal of the American Statistical Association\u003c\/i\u003e, September 2007)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eList of Figures.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eList of Tables.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePreface to Second Edition.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAcknowledgments.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePreface to First Edition.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eNotation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eI INTRODUCTION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Discriminant Analysis in Research.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 A Little History.\u003c\/p\u003e \u003cp\u003e1.2 Overview.\u003c\/p\u003e \u003cp\u003e1.3 Descriptive Discriminant Analysis.\u003c\/p\u003e \u003cp\u003e1.4 Predictive Discriminant Analysis.\u003c\/p\u003e \u003cp\u003e1.5 Design in Discriminant Analysis.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Preliminaries.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction.\u003c\/p\u003e \u003cp\u003e2.2 Research Context.\u003c\/p\u003e \u003cp\u003e2.3 Data, Analysis Units, Variables, and Constructs.\u003c\/p\u003e \u003cp\u003e2.4 Summarizing Data.\u003c\/p\u003e \u003cp\u003e2.5 Matrix Operations.\u003c\/p\u003e \u003cp\u003e2.6 Distance.\u003c\/p\u003e \u003cp\u003e2.7 Linear Composite.\u003c\/p\u003e \u003cp\u003e2.8 Probability.\u003c\/p\u003e \u003cp\u003e2.9 Statistical Testing.\u003c\/p\u003e \u003cp\u003e2.10 Judgment in Data Analysis.\u003c\/p\u003e \u003cp\u003e2.11 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eII ONE-FACTOR MANOVA\u003c\/b\u003e\u003ci\u003e\/\u003c\/i\u003e\u003cb\u003eDDA.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Group Separation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction.\u003c\/p\u003e \u003cp\u003e3.2 Two-Group Analyses.\u003c\/p\u003e \u003cp\u003e3.3 Test for Covariance Matrix Equality.\u003c\/p\u003e \u003cp\u003e3.4 Yao Test.\u003c\/p\u003e \u003cp\u003e3.5 Multiple-Group Analyses—Single Factor.\u003c\/p\u003e \u003cp\u003e3.6 Computer Application.\u003c\/p\u003e \u003cp\u003e3.7 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Assessing MANOVA Effects.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction.\u003c\/p\u003e \u003cp\u003e4.2 Strength of Association.\u003c\/p\u003e \u003cp\u003e4.3 Computer Application I.\u003c\/p\u003e \u003cp\u003e4.4 Group Contrasts.\u003c\/p\u003e \u003cp\u003e4.5 Computer Application II.\u003c\/p\u003e \u003cp\u003e4.6 Covariance Matrix Heterogeneity.\u003c\/p\u003e \u003cp\u003e4.7 Sample Size.\u003c\/p\u003e \u003cp\u003e4.8 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Describing MANOVA Effects.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction.\u003c\/p\u003e \u003cp\u003e5.2 Omnibus Effects.\u003c\/p\u003e \u003cp\u003e5.3 Computer Application I.\u003c\/p\u003e \u003cp\u003e5.4 Standardized LDFWeights.\u003c\/p\u003e \u003cp\u003e5.5 LDF Space Dimension.\u003c\/p\u003e \u003cp\u003e5.6 Computer Application II.\u003c\/p\u003e \u003cp\u003e5.7 Computer Application III.\u003c\/p\u003e \u003cp\u003e5.8 Contrast Effects.\u003c\/p\u003e \u003cp\u003e5.9 Computer Application IV.\u003c\/p\u003e \u003cp\u003e5.10 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Deleting and Ordering Variables.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 Variable Deletion.\u003c\/p\u003e \u003cp\u003e6.3 Variable Ordering.\u003c\/p\u003e \u003cp\u003e6.4 Contrast Analyses.\u003c\/p\u003e \u003cp\u003e6.5 Computer Application II.\u003c\/p\u003e \u003cp\u003e6.6 Comments.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Reporting DDA Results.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction.\u003c\/p\u003e \u003cp\u003e7.2 Example of Reporting DDA Results.\u003c\/p\u003e \u003cp\u003e7.3 Computer Package Information.\u003c\/p\u003e \u003cp\u003e7.4 Reporting Terms.\u003c\/p\u003e \u003cp\u003e7.5 MANOVA\u003ci\u003e\/\u003c\/i\u003eDDA Applications.\u003c\/p\u003e \u003cp\u003e7.6 Concerns.\u003c\/p\u003e \u003cp\u003e7.7 Overview.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIII FACTORIAL MANOVA, MANCOVA, AND REPEATED MEASURES.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Factorial MANOVA.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction.\u003c\/p\u003e \u003cp\u003e8.2 Research Context.\u003c\/p\u003e \u003cp\u003e8.3 Univariate Analysis.\u003c\/p\u003e \u003cp\u003e8.4 Multivariate Analysis.\u003c\/p\u003e \u003cp\u003e8.5 Computer Application I.\u003c\/p\u003e \u003cp\u003e8.6 Computer Application II.\u003c\/p\u003e \u003cp\u003e8.7 Nonorthogonal Design.\u003c\/p\u003e \u003cp\u003e8.8 Outcome Variable Ordering and Deletion.\u003c\/p\u003e \u003cp\u003e8.9 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Analysis of Covariance.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction.\u003c\/p\u003e \u003cp\u003e9.2 Research Context.\u003c\/p\u003e \u003cp\u003e9.3 Univariate ANCOVA.\u003c\/p\u003e \u003cp\u003e9.4 Multivariate ANCOVA (MANCOVA).\u003c\/p\u003e \u003cp\u003e9.5 Computer Application I.\u003c\/p\u003e \u003cp\u003e9.6 Comparing Adjusted Means—Omnibus Test.\u003c\/p\u003e \u003cp\u003e9.7 Computer Application II.\u003c\/p\u003e \u003cp\u003e9.8 Contrast Analysis.\u003c\/p\u003e \u003cp\u003e9.9 Computer Application III.\u003c\/p\u003e \u003cp\u003e9.10 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Repeated-Measures Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction.\u003c\/p\u003e \u003cp\u003e10.2 Research Context.\u003c\/p\u003e \u003cp\u003e10.3 Univariate Analyses.\u003c\/p\u003e \u003cp\u003e10.4 Multivariate Analysis.\u003c\/p\u003e \u003cp\u003e10.5 Computer Application I.\u003c\/p\u003e \u003cp\u003e10.6 Univariate and Multivariate Analyses.\u003c\/p\u003e \u003cp\u003e10.7 Testing for Sphericity.\u003c\/p\u003e \u003cp\u003e10.8 Computer Application II.\u003c\/p\u003e \u003cp\u003e10.9 Contrast Analysis.\u003c\/p\u003e \u003cp\u003e10.10 Computer Application III.\u003c\/p\u003e \u003cp\u003e10.11 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Mixed-Model Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction.\u003c\/p\u003e \u003cp\u003e11.2 Research Context.\u003c\/p\u003e \u003cp\u003e11.3 Univariate Analysis.\u003c\/p\u003e \u003cp\u003e11.4 Multivariate Analysis.\u003c\/p\u003e \u003cp\u003e11.5 Computer Application I.\u003c\/p\u003e \u003cp\u003e11.6 Contrast Analysis.\u003c\/p\u003e \u003cp\u003e11.7 Computer Application II.\u003c\/p\u003e \u003cp\u003e11.8 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIV GROUP MEMBERSHIP PREDICTION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Classification Basics.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction.\u003c\/p\u003e \u003cp\u003e12.2 Notion of Distance.\u003c\/p\u003e \u003cp\u003e12.3 Distance and Classification.\u003c\/p\u003e \u003cp\u003e12.4 Classification Rules in General.\u003c\/p\u003e \u003cp\u003e12.5 Comments.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Multivariate Normal Rules.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction.\u003c\/p\u003e \u003cp\u003e13.2 Normal Density Functions.\u003c\/p\u003e \u003cp\u003e13.3 Classification Rules Based on Normality.\u003c\/p\u003e \u003cp\u003e13.4 Classification Functions.\u003c\/p\u003e \u003cp\u003e13.5 Summary of Classification Statistics.\u003c\/p\u003e \u003cp\u003e13.6 Choice of Rule Form.\u003c\/p\u003e \u003cp\u003e13.7 Comments.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Classification Results.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction.\u003c\/p\u003e \u003cp\u003e14.2 Research Context.\u003c\/p\u003e \u003cp\u003e14.3 Computer Application.\u003c\/p\u003e \u003cp\u003e14.4 Individual Unit Results.\u003c\/p\u003e \u003cp\u003e14.5 Group Results.\u003c\/p\u003e \u003cp\u003e14.6 Comments.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Hit Rate Estimation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction.\u003c\/p\u003e \u003cp\u003e15.2 True Hit Rates.\u003c\/p\u003e \u003cp\u003e15.3 Hit Rate Estimators.\u003c\/p\u003e \u003cp\u003e15.4 Computer Application.\u003c\/p\u003e \u003cp\u003e15.5 Choice of Hit Rate Estimator.\u003c\/p\u003e \u003cp\u003e15.6 Outliers and In-Doubt Units.\u003c\/p\u003e \u003cp\u003e15.7 Sample Size.\u003c\/p\u003e \u003cp\u003e15.8 Comments.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Effectiveness of Classification Rules.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction.\u003c\/p\u003e \u003cp\u003e16.2 Proportional Chance Criterion.\u003c\/p\u003e \u003cp\u003e16.3 Maximum-Chance Criterion.\u003c\/p\u003e \u003cp\u003e16.4 Improvement over Chance.\u003c\/p\u003e \u003cp\u003e16.5 Comparison of Rules.\u003c\/p\u003e \u003cp\u003e16.6 Computer Application I.\u003c\/p\u003e \u003cp\u003e16.7 Effect of Unequal Priors.\u003c\/p\u003e \u003cp\u003e16.8 PDA Validity\u003ci\u003e\/\u003c\/i\u003eReliability.\u003c\/p\u003e \u003cp\u003e16.9 Applying a Classification Rule to New Units.\u003c\/p\u003e \u003cp\u003e16.10 Comments.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Deleting and Ordering Predictors.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction.\u003c\/p\u003e \u003cp\u003e17.2 Predictor Deletion.\u003c\/p\u003e \u003cp\u003e17.3 Computer Application.\u003c\/p\u003e \u003cp\u003e17.4 Predictor Ordering.\u003c\/p\u003e \u003cp\u003e17.5 Reanalysis.\u003c\/p\u003e \u003cp\u003e17.6 Comments.\u003c\/p\u003e \u003cp\u003e17.7 Side Note.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Two-Group Classification.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction.\u003c\/p\u003e \u003cp\u003e18.2 Two-Group Rule.\u003c\/p\u003e \u003cp\u003e18.3 Regression Analogy.\u003c\/p\u003e \u003cp\u003e18.4 MRA–PDA Relationship.\u003c\/p\u003e \u003cp\u003e18.5 Necessary Sample Size.\u003c\/p\u003e \u003cp\u003e18.6 Univariate Classification.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Nonnormal Rules.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction.\u003c\/p\u003e \u003cp\u003e19.2 Continuous Variables.\u003c\/p\u003e \u003cp\u003e19.3 Categorical Variables.\u003c\/p\u003e \u003cp\u003e19.4 Predictor Mixtures.\u003c\/p\u003e \u003cp\u003e19.5 Comments.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Reporting PDA Results.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction.\u003c\/p\u003e \u003cp\u003e20.2 Example of Reporting PDA Results.\u003c\/p\u003e \u003cp\u003e20.3 Some Additional Specific PDA Information.\u003c\/p\u003e \u003cp\u003e20.4 Computer Package Information.\u003c\/p\u003e \u003cp\u003e20.5 Reporting Terms.\u003c\/p\u003e \u003cp\u003e20.6 Sources of PDA Applications.\u003c\/p\u003e \u003cp\u003e20.7 Concerns.\u003c\/p\u003e \u003cp\u003e20.8 Overview.\u003c\/p\u003e \u003cp\u003eFurther Reading.\u003c\/p\u003e \u003cp\u003eExercises.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 PDA-Related Analyses.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction.\u003c\/p\u003e \u003cp\u003e21.2 Nonlinear Methods.\u003c\/p\u003e \u003cp\u003e21.3 Other Methods.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eV ISSUES AND PROBLEMS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22 Issues in PDA and DDA.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e22.1 Introduction.\u003c\/p\u003e \u003cp\u003e22.2 Five Choices in PDA.\u003c\/p\u003e \u003cp\u003e22.3 Stepwise Analyses.\u003c\/p\u003e \u003cp\u003e22.4 StandardizedWeights Versus Structure \u003ci\u003er\u003c\/i\u003e’s.\u003c\/p\u003e \u003cp\u003e22.5 Data-Based Structure.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e23 Problems in PDA and DDA.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e23.1 Introduction.\u003c\/p\u003e \u003cp\u003e23.2 Missing Data.\u003c\/p\u003e \u003cp\u003e23.3 Outliers and Influential Observations.\u003c\/p\u003e \u003cp\u003e23.4 Initial Group Misclassification.\u003c\/p\u003e \u003cp\u003e23.5 Misclassification Costs.\u003c\/p\u003e \u003cp\u003e23.6 Statistical Versus Clinical Prediction.\u003c\/p\u003e \u003cp\u003e23.7 Other Problems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A: Data Set Descriptions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B: Some DA-Related Originators.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix C: List of Computer Syntax.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix D: Contents ofWileyWebsite.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eReferences.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAnswers to Exercises.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":53515427905879,"sku":"9780471468158","price":126.85,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/applied-manova-and-discriminant-analysis-9780471468158","provider":"Book Curl","version":"1.0","type":"link"}