000			02322nam a22005177a 4500
001			9062
003			OSt
005			20240327121648.0
008			240327m20192023ii a|||| |||| 001 0 eng d
020			_a9789353501358 _qpaper back
040			_cCentral Library, Khulna University _dKU
041			_2eng
082			_a519.535 _bHAM
100			_aHair,Joseph F
245			_aMultivariate data analysis / _cby Joseph F. Hair and et al.
250			_a8th ed.
260			_a New Delhi : _b Pearson Education(Singapore) , _c2023
300			_axvii, 800p.: _cill.; _b25 cm.
350			_a1148.00
440			_vMultivariate data analysis
504			_aincludes index
505	0		_aChapter 1 Overview of Multivariate Methods
505			_a _tSection 1: Preparing for Multivariate Analysis
505			_aChapter 2: Examining Your Data
505			_tSection 2: Interdependence Techniques
505			_aChapter 3: Exploratory Factor Analysis
505			_aChapter 4: Cluster Analysis
505			_tSection 3: Dependence Techniques
505			_aChapter 5: Multiple Regression
505			_aChapter 6: MANOVA: Extending ANOVA
505			_aChapter 7: Discriminant Analysis
505			_aChapter 8: Logistic Regression: Regression with a Binary Dependent Variable
505			_tSection 4: Moving Beyond the Basic Techniques
505			_aChapter 9: Structural Equation Modeling: An Introduction
505			_aChapter 10: Confirmatory Factor Analysis
505			_aChapter 11: Testing Structural Equation Models
505			_aChapter 12: Advanced Topics in SEM
505			_aChapter 13: Partial Least Squares 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			_aMultivariate data analysis
650			_aMultivariate analysis
700			_a Anderson,Rolph E
700			_aTatham,Ronad L
700			_aBlack,William C
942			_cBK
999			_c9062 _d9062