Linear Regression Analysis and Forecasting PM4XRDZB66

URI	`m2://res/PM4XRDZB66`
Kind	course
Creators	Shalabh (instructor)
Date	2017-01-04
Scope	in
Ids	course 05pjsgx75:111104098

Expressions

e1: edition

Language	en
Date	2017-01-04

m1: page, IIT Kanpur (record). nptel 111104098
m2: page, 2017-01-04 (record). nptel 111104098

Contents

part 1: Unit 1: Basic fundamentals, Simple linear regression analysis
session 1: Lecture 01 - Basic Fundamental Concepts Of Modelling.
session 2: Lecture 02 - Regression Model - A Statistical Tool
session 3: Lecture 03 - Simple Linear Regression Analysis
session 4: Lecture 04 - Estimation Of Parameters In Simple Linear Regression Model
session 5: Lecture 05 - Estimation Of Parameters In Simple Linear Regression Model (continued) : Some Nice Properties
session 6: Lecture 06 - Estimation Of Parameters In Simple Linear Regression Model (continued)
part 2: Unit 2: Simple linear regression analysis, Multiple linear regression analysis.
session 7: Lecture 07 - Maximum Likelihood Estimation of Parameters in Simple Linear Regression Model
session 8: Lecture 08 - Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model
session 9: Lecture 09 - Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model (continued)
session 10: Lecture 10 - Software Implementation in Simple Linear Regression Model using MINITAB
session 11: Lecture 11 - Multiple Linear Regression Model
session 12: Lecture 12 - Estimation of Model Parameters in Multiple Linear Regression Model
part 3: Unit 3: Multiple linear regression analysis. Diagnostics in multiple linear regression analysis
session 13: Lecture 13 - Estimation of Model Parameters in Multiple Linear Regression Model (continued)
session 14: Lecture 14 - Standardized Regression Coefficients and Testing of Hypothesis
session 15: Lecture 15 - Testing of Hypothesis (continued) and Goodness of Fit of the Model
session 16: Lecture 16 - Diagnostics in Multiple Linear Regression Model
session 17: Lecture 17 - Diagnostics in Multiple Linear Regression Model (continued)
session 18: Lecture 18 - Diagnostics in Multiple Linear Regression Model (continued)
part 4: Unit 4: Forecasting in linear regression models
session 19: Lecture 19 - Software Implementation of Multiple Linear Regression Model using MINITAB
session 20: Lecture 20 - Software Implementation of Multiple Linear Regression Model using MINITAB (continued)
session 21: Lecture 21 - Forecasting in Multiple Linear Regression Model
session 22: Lecture 22 - Within Sample Forecasting
session 23: Lecture 23 - Outside Sample Forecasting
session 24: Lecture 24 - Software Implementation of Forecasting using MINITAB.

Catalogue records

nptel: 111104098 (manifestation)
nptel_video: 111104098 (manifestation)