Mathematics - Regression Analysis (English)

   Monday, May 05, 2025   

Starting a new Lecture Notes Series on Mathematics - Regression Analysis

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Channel Name: nptelhrd

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Mathematics - Regression Analysis By Lecture Notes together!

Lecture 1: Simple Linear Regression(Part A)

Lecture 2: Simple Linear Regression (Part B)

Lecture 3: Simple Linear Regression (Part C)

Lecture 4: Simple Linear Regression (Part D)

Lecture 5: Simple Linear Regression (Part E)

Lecture 6: Multiple Linear Regression (Part A)

Lecture 7: Multiple Linear Regression (Part B)

Lecture 8: Multiple Linear Regression (Part C)

Lecture 9: Multiple Linear Regression (Part D)

Lecture 10: Selecting the BEST Regression Model (Part A)

Lecture 11: Selecting the BEST Regression Model (Part B)

Lecture 12: Selecting the BEST Regression Model (Part C)

Lecture 13: Selecting the BEST Regression Model (Part D)

Lecture 14: Multicollinearity (Part A)

Lecture 15: Multicollinearity (Part B)

Lecture 16: Multicollinearity (Part C)

Lecture 17: Model Adequacy Checking (Part A)

Lecture 18: Model Adequacy Checking (Part B)

Lecture 19: Model Adequacy Checking (Part C)

Lecture 20: Test for Influential Observations

Lecture 21: Transformation and Weighting to correct model inadequacies (Part A)

Lecture 22: Transformation and Weighting to correct model inadequacies (Part B)

Lecture 23: Transformation and Weighting to correct model inadequacies (Part C)

Lecture 24: Dummy Variables (Part A)

Lecture 25: Dummy Variables (Part B)

Lecture 26: Dummy Variables (Part C)

Lecture 27: Polynomial Regression Models (Part A)

Lecture 28: Polynomial Regression Models (Part B)

Lecture 29: Polynomial Regression Models (Part C)

Lecture 30: Generalized Linear Model (Part A)

Lecture 31: Generalized Linear Model (Part B)

Lecture 32: Non-Linear Estimation

Lecture 33: Mod-12 Lec-33 Regression Models with Autocorrelated Errors

Lecture 34: Mod-12 Lec-34 Regression Models with Autocorrelated Errors (Contd.)

Lecture 35: Mod-13 Lec-35 Measurement Errors and Calibration Problem

Lecture 36: Mod-14 Lec-36 Tutorial - I

Lecture 37: Mod-15 Lec-37 Tutorial - II

Lecture 38: Mod-16 Lec-38 Tutorial - III

Lecture 39: Mod-17 Lec-39 Tutorial - IV

Lecture 40: Mod-18 Lec-40 Tutorial - V