Text| Item type | Current library | Collection | Call number | Vol info | Copy number | Status | Barcode | |
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MBA Referance
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St. Xavier's University, Kolkata Reference Section | Reference | R 519.535 MUL Ed8 (Browse shelf(Opens below)) | S.X.U.K | 3307 | Not For Loan | UM3307 | |
MBA - Masters on Business Administration
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St. Xavier's University, Kolkata Lending Section | 519.535 MUL Ed8 (Browse shelf(Opens below)) | S.X.U.K | 3308 | Available | M3308 | ||
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MBA - Masters on Business Administration
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St. Xavier's University, Kolkata Lending Section | 519.535 MUL Ed8.C1 (Browse shelf(Opens below)) | S.X.U.K | 3309 | Available | M3309 | ||
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MBA - Masters on Business Administration
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St. Xavier's University, Kolkata Lending Section | 519.535 MUL Ed8.C2 (Browse shelf(Opens below)) | S.X.U.K | 3310 | Available | M3310 | ||
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MBA - Masters on Business Administration
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St. Xavier's University, Kolkata Lending Section | 519.535 MUL Ed8.C3 (Browse shelf(Opens below)) | S.X.U.K | 3311 | Available | M3311 |
Browsing St. Xavier's University, Kolkata shelves, Shelving location: Reference Section, Collection: Reference Close shelf browser (Hides shelf browser)
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| R 519.535 MER(ADV)Ed7 Advanced and multivariate statistical methods : practical application and interpretation | R 519.535 MER(ADV)Ed7 Advanced and multivariate statistical methods : practical application and interpretation | R 519.535 MUI(ASP) Aspects of multivariate statistical theory / | R 519.535 MUL Ed8 Multivariate data analysis | R 519.535 PIT(APP)Ed6 Applied multivariate statistics for the social sciences : analyses with SAS and IBM's SPSS / | R 519.535 SEN(LIN) Linear models and regression with R / an integrated approach : | R 519.535 SHA(APP) Applied multivariate techniques |
Chapter 1 Overview of Multivariate Methods
Section 1: Preparing for Multivariate Analysis
Chapter 2: Examining Your Data
Section 2: Interdependence Techniques
Chapter 3: Exploratory Factor Analysis
Chapter 4: Cluster Analysis
Section 3: Dependence Techniques
Chapter 5: Multiple Regression
Chapter 6: MANOVA: Extending ANOVA
Chapter 7: Discriminant Analysis
Chapter 8: Logistic Regression: Regression with a Binary Dependent Variable
Section 4: Moving Beyond the Basic Techniques
Chapter 9: Structural Equation Modeling: An Introduction
Chapter 10: Confirmatory Factor Analysis
Chapter 11: Testing Structural Equation Models
Chapter 12: Advanced Topics in SEM
Chapter 13: Partial Least Squares Modeling (PLS-SEM)
In addition to the chapters in the print book, e-copies of all other chapters in the previous editions are available to download on the companion website, including canonical correlation, conjoint analysis, multidimensional scaling, and correspondence analysis.
Includes index
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