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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
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