Learn · Applied Multivariate Statistical Modeling
Lecture 32 of 42
Regression Modeling using SPSS
Dr J Maiti · IIT Kharagpur
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- Applied Multivariate Statistical Modeling, IIT Kharagpur (at NPTEL)
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- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures
- Introduction to multivariate statistical modeling
- Introduction to multivariate statistical modeling (Contd.)
- Univariate descriptive statistics
- Sampling distribution
- Estimation
- Estimation (Contd.)
- Hypothesis testing
- Multivariate descriptive statistics
- Multivariate descriptive statistics (Contd.)
- Multivariate normal distribution
- Multivariate normal distribution (Contd.)
- Multivariate Inferential Statistics
- Multivariate Inferential Statistics (Contd.)
- ANOVA (Analysis of Varianace)
- Analysis of Variance (Contd.)
- Multivariate Analysis of Variance (MANOVA)
- MANOVA (Contd.)
- Tutorial : ANOVA
- Tutorial ANOVA (Contd.)
- MANOVA : Case Study
- Multiple Regression : Introduction
- MLR : Sampling distribution of regression coefficients
- MLR : Model adequacy tests
- MLR : Test of assumptions
- MLR : Model diagnostics
- MLR : Case Study
- Multivariate Linear Regression
- Multivariate Linear Regression :Estimation
- Multivariate Linear Regression : Model Adequacy tests
- Principal Component Analysis (PCA)
- PCA : Model Adequacy & Interpretation
- Regression Modeling using SPSS
- Factor Analysis
- Factor Analysis : Estimation & Model Adequacy testing
- Factor Analysis : Model Adequacy, rotation, factor scores and case study
- Cluster Analysis
- Cluster Analysis (Contd.)
- Introduction to Structural Equation Modeling (SEM)
- SEM - Measurement Model
- SEM - Structural Model
- Correspondence Analysis
- Correspondence Analysis (Contd.)