Linear Regression Analysis J8N6PAY2GB

URI	`m2://res/J8N6PAY2GB`
Kind	course
Creators	Shalabh (instructor)
Scope	in
Ids	course 05pjsgx75:111104074

Expressions

e1: edition

Language	en

m1: page, IIT Kanpur (record). nptel 111104074

Contents

part 1: main
session 1: main
part 2: Introduction
session 2: Lecture1
part 3: Simple linear regression analysis
session 3: Lecture2
session 4: Lecture3
session 5: Lecture4
session 6: Lecture5
session 7: Lecture6
session 8: Lecture7
part 4: Multiple linear regression analysis
session 9: Lecture8
session 10: Lecture9
session 11: Lecture10
session 12: Lecture11
session 13: Lecture12
session 14: Lecture13
session 15: Lecture14
part 5: Model adequacy checking
session 16: Lecture15
session 17: Lecture16
session 18: Lecture17
session 19: Lecture18
session 20: Lecture19
part 6: Correcting model inadequacies through transformation and weighting
session 21: Lecture20
session 22: Lecture21
session 23: Lecture22
part 7: Tests for leverage and influential points
session 24: Lecture23
session 25: Lecture24
part 8: Generalized and weighted least squares estimation
session 26: Lecture25
part 9: Indicator variables
session 27: Lecture26
session 28: Lecture27
part 10: Multicollinearity
session 29: Lecture28
session 30: Lecture29
session 31: Lecture30
session 32: Lecture31
part 11: Hetrokedasticity
session 33: Lecture32
part 12: Autocorrelation
session 34: Lecture33
session 35: Lecture34
part 13: Polynomial regression models
session 36: Lecture35
session 37: Lecture36
part 14: Variable selection and model building
session 38: Lecture37
session 39: Lecture38
session 40: Lecture39
part 15: Logistic and Poisson regression models
session 41: Lecture40
session 42: Lecture41
part 16: Generalized linear model
session 43: Lecture42
session 44: Lecture43
part 17: Exercises
session 45: Lecture44
part 18: Bibliography
session 46: Bibliography-RegressionAnalysis

Catalogue records

nptel: 111104074 (manifestation)