000			01932nam a2200229 i 4500
999			_c44755 _d44755
020			_a9789353501358
082			_a519.535 _bMUL
100	1		_aJoseph F.Hair..[et al.]
245	0	0	_aMultivariate data analysis
250			_aEighth edition.
260			_aDelhi : _bCengage Learning, _c2019
300			_axvii, 813 pages : _billustrations ;
500			_aRevision of: Multivariate data analysis / Joseph F. Hair, Jr. ... [et al.]. c2006. 7th ed.
505			_a 1. Overview of multivariate methods -- Section I: Preparing for multivariate analysis -- Chapter 2: Examining your data -- Section II: Interdependence techniques -- Chapter 3: Exploratory factor analysis -- Chapter 4: Cluster analysis -- Section III: Dependence techniques -- metric outcomes -- Chapter 5: Multiple regression analysis -- Chapter 6: MANOVA:extending ANOVA -- Section IV: Dependence techniques -- non-metric outcomes -- Chapter 7: Multiple discriminant analysis -- Chapter 8: Logistic regression: regression with a binary dependent variable -- Section V: Moving beyond the basics -- Chapter 9: Structural equation modeling: an introduction -- Chapter 10: SEM: confirmatory factor analysis -- Chapter 11: Testing structural equation models -- Chapter 12: Advanced SEM topics -- Chapter 13: Partial least squares structural equation modeling (PLS-SEM).
520			_aMultivariate 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.
650		0	_aMultivariate analysis.
700			_aHair, Joseph F.
700			_aBabin, Barry J.
700			_aWilliam, Black C.
700			_aAnderson, Rolph E.
942			_cBK