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Sl.No Chapter Name English
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2Lecture 02: Introduction to Multivariate Statistical Modeling: Data types, models, and modeling "Download
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20Lecture 20: Multivariate Normal Distribution (Contd): Examining data for multivariate normal distributionDownload
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21Lecture 21: Multivariate Inferential Statistics: Basics and Hotelling T - square statisticDownload
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24Lecture 24: Multivariate Inferential Statistics: Hypothesis testing for equality of two population mean vectors "Download
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26Lecture 26: Analysis of Variance (ANOVA): Decomposition of Total sum of squaresDownload
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29Lecture 29: Tutorial ANOVAPDF unavailable
30Lecture 30: Tutorial ANOVA (Contd)PDF unavailable
31Lecture 31: Multivariate Analysis of Variance (MANOVA): Conceptual ModelPDF unavailable
32Lecture 32: Multivariate Analysis of Variance (MANOVA): Assumptions and Decomposition of total sum square and cross products (SSCP)PDF unavailable
33Lecture 33: Multivariate Analysis of Variance (MANOVA): Decomposition of total sum square and cross products (SSCP)(contd)PDF unavailable
34Lecture 34: Multivariate Analysis of Variance (MANOVA): Estimation and Hypothesis testingPDF unavailable
35Lecture 35: MANOVA Case StudyPDF unavailable
36Lecture 36: Multiple Linear Regression: IntroductionPDF unavailable
37Lecture 37: Multiple Linear Regression: Assumptions and Estimation of model parametersPDF unavailable
38Lecture 38: Multiple Linear Regression: Sampling Distribution of parameter estimatesPDF unavailable
39Lecture 39: Multiple Linear Regression: Sampling Distribution of parameter estimates (contd)PDF unavailable
40Lecture 40: Multiple Linear Regression: Model Adequacy TestsPDF unavailable
41Lecture 41: Multiple Linear Regression: Model Adequacy Tests(contd)PDF unavailable
42Lecture 42: Multiple Linear Regression: Test of AssumptionsPDF unavailable
43Lecture 43: MLR-Model diagnosticsPDF unavailable
44Lecture 44: MLR-case studyPDF unavailable
45Lecture 45: Multivariate Linear Regression: conceptual model and assumptionsPDF unavailable
46Lecture 46: Multivariate Linear Regression: Estimation of parametersPDF unavailable
47Lecture 47: Multivariate Linear Regression: Estimation of parameters (contd)PDF unavailable
48Lecture 48: Multiple Linear Regression: Sampling Distribution of parameter estimatesPDF unavailable
49Lecture 49: Multivariate Linear Regression: Model Adequacy TestsPDF unavailable
50Lecture 50: Multiple Linear Regression: Model Adequacy Tests(contd)PDF unavailable
51Lecture 51: Regression modeling using SPSSPDF unavailable
52Lecture 52: Principal Component Analysis (PCA): Conceptual ModelPDF unavailable
53Lecture 53: Principal Component Analysis (PCA): Extraction of Principal components (PCs)PDF unavailable
54Lecture 54: Principal Component Analysis (PCA): Model Adequacy and InterpretationPDF unavailable
55Lecture 55: Principal Component Analysis (PCA): Model Adequacy and Interpretation (contd) "PDF unavailable
56Lecture 56: Factor Analysis: Basics and Orthogonal factor modelsPDF unavailable
57Lecture 57: Factor Analysis: Types of models and key questionsPDF unavailable
58Lecture 58: Factor Analysis: Parameter EstimationPDF unavailable
59Lecture 59: Factor Analysis: Parameter Estimation(contd)PDF unavailable
60Lecture 60: Factor Analysis: Model Adequacy tests and factor rotationPDF unavailable
61Lecture 61: Factor Analysis: Factor scores and case studyPDF unavailable