Media Storage Type : DVD-ROM
NPTEL Course Name : Linear Regression Analysis
NPTEL Subject Matter Expert : Prof. Shalabh
NPTEL Co-ordinating Institute : IIT Kanpur
NPTEL Lecture Count : 46
Lecture Titles:
Lecture 0 - Main
Lecture 1 - Introduction
Lecture 2 - Simple linear regression analysis
Lecture 3 - Simple linear regression analysis
Lecture 4 - Simple linear regression analysis
Lecture 5 - Simple linear regression analysis
Lecture 6 - Simple linear regression analysis
Lecture 7 - Simple linear regression analysis
Lecture 8 - Multiple linear regression analysis
Lecture 9 - Multiple linear regression analysis
Lecture 10 - Multiple linear regression analysis
Lecture 11 - Multiple linear regression analysis
Lecture 12 - Multiple linear regression analysis
Lecture 13 - Multiple linear regression analysis
Lecture 14 - Multiple linear regression analysis
Lecture 15 - Model adequacy checking
Lecture 16 - Model adequacy checking
Lecture 17 - Model adequacy checking
Lecture 18 - Model adequacy checking
Lecture 19 - Model adequacy checking
Lecture 20 - Correcting model inadequacies through transformation and weighting
Lecture 21 - Correcting model inadequacies through transformation and weighting
Lecture 22 - Correcting model inadequacies through transformation and weighting
Lecture 23 - Tests for leverage and influential points
Lecture 24 - Tests for leverage and influential points
Lecture 25 - Generalized and weighted least squares estimation
Lecture 26 - Indicator variables
Lecture 27 - Indicator variables
Lecture 28 - Multicollinearity
Lecture 29 - Multicollinearity
Lecture 30 - Multicollinearity
Lecture 31 - Multicollinearity
Lecture 32 - Hetrokedasticity
Lecture 33 - Autocorrelation
Lecture 34 - Autocorrelation
Lecture 35 - Polynomial regression models
Lecture 36 - Polynomial regression models
Lecture 37 - Variable selection and model building
Lecture 38 - Variable selection and model building
Lecture 39 - Variable selection and model building
Lecture 40 - Logistic and Poisson regression models
Lecture 41 - Logistic and Poisson regression models
Lecture 42 - Generalized linear model
Lecture 43 - Generalized linear model
Lecture 44 - Exercises
Lecture 45 - Bibliography - Regression Analysis,18. Bibliography