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多变量经典教科书HairMultivariate Data Analysis (7th ed.) 高清pdf附正确目录书签

多变量统计Statistics圣经

(Joseph F. Hair, Black, Babin, &Anderson, 2010)
Joseph F. Hair, J., Black, W. C., Babin, B. J.,& Anderson, R. E. (2010). MultivariateData Analysis (7th ed.): Pearson.

Contents

01 Overview ofMultivariate Methods

02 ExaminingYour Data

03 ExploratoryFactor Analysis

04 MultipleRegression Analysis

05 MultipleDiscriminant Analysis

06 LogisticRegression : Regression with a Binary Dependent Variable

07 MANOVA andGLM

08 ConjointAnalysis

09 ClusterAnalysis

10Multidimensional Scaling

11 AnalyzingNominal Data with Correspondence Analysis

12 StructuralEquations Modeling Overview

  APPENDIX A ESTIMATING RELATIONSHIPS USINGPATH ANALYSIS

  APPENDIX B SEM ABBREVIATIONS

  APPENDIX C DETAIL ON SELECTED GOF INDICES

13 ConfirmatoryFactor Analysis

14 Testing StructuralEquations Models

15 Advanced SEMTopics and PLS

Description

For graduate andupper-level undergraduate marketing research courses.

For over 30 years, thistext has provided students with the information they need to understand andapply multivariate data analysis.

Hair et. al provides anapplications-oriented introduction to multivariate analysis for thenon-statistician. By reducing heavy statistical research into fundamentalconcepts, the text explains to students how to understand and make use of theresults of specific statistical techniques.

In this seventh revision,the organization of the chapters has been greatly simplified. New chapters havebeen added on structural equations modeling, and all sections have been updatedto reflect advances in technology, capability, and mathematical techniques.

https://www.pearson.com/us/higher-education/program/Hair-Multivariate-Data-Analysis-7th-Edition/PGM263675.html