Hair,Joseph F <br/><br/>
Multivariate data analysis / 
by Joseph F. Hair and et al. 
 - 8th ed. 
 - New Delhi :   Pearson Education(Singapore) ,   2023 
 - xvii, 800p.:  25 cm.  ill.; 
 -  Multivariate data analysis .
<br/><br/>includes index 
<br/><br/>Chapter 1 Overview of Multivariate Methods<br/><br/> <br/>  Section 1: Preparing for Multivariate Analysis<br/> Chapter 2: Examining Your Data<br/><br/>  Section 2: Interdependence Techniques<br/><br/><br/><br/> Chapter 3: Exploratory Factor Analysis Chapter 4: Cluster Analysis<br/><br/>  Section 3: Dependence Techniques<br/><br/> Chapter 5: Multiple Regression<br/><br/> Chapter 6: MANOVA: Extending ANOVA<br/><br/> Chapter 7: Discriminant Analysis<br/><br/> Chapter 8: Logistic Regression: Regression with a Binary Dependent Variable<br/><br/><br/>  Section 4: Moving Beyond the Basic Techniques<br/><br/> Chapter 9: Structural Equation Modeling: An Introduction<br/><br/> Chapter 10: Confirmatory Factor Analysis<br/><br/> Chapter 11: Testing Structural Equation Models<br/><br/> Chapter 12: Advanced Topics in SEM<br/> Chapter 13: Partial Least Squares Modeling (PLS-SEM)<br/> 
<br/><br/> Multivariate Data Analysis is an applications-oriented introduction to multivariate analysis for the non-statistician. The eighth edition incorporates pivotal advances in technology that will assist students in gaining a firm understanding of statistical and managerial principles so as to develop a "comfort zone" not only for the statistical, but also the practical issues involved 
<br/><br/><label>ISBN: </label>9789353501358 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Multivariate data analysis <br/>Multivariate analysis
<br/><br/><label>Dewey Class. No.: </label>519.535   / HAM