NOC:Linear Regression Analysis and Forecasting (USB)

₹950.00
In stock
SKU
111104098



Media Storage Type : 32 GB USB Stick

NPTEL Subject Matter Expert : Prof. Shalabh

NPTEL Co-ordinating Institute : IIT Kanpur

NPTEL Lecture Count : 24

NPTEL Course Size : 1.3 GB

NPTEL PDF Text Transcription : Available and Included

NPTEL Subtitle Transcription : Available and Included (SRT)


Lecture Titles:

Lecture 1 - Basic Fundamental Concepts Of Modelling
Lecture 2 - Regression Model - A Statistical Tool
Lecture 3 - Simple Linear Regression Analysis
Lecture 4 - Estimation Of Parameters In Simple Linear Regression Model
Lecture 5 - Estimation Of Parameters In Simple Linear Regression Model (Continued...) : Some Nice Properties
Lecture 6 - Estimation Of Parameters In Simple Linear Regression Model (Continued...)
Lecture 7 - Maximum Likelihood Estimation of Parameters in Simple Linear Regression Model
Lecture 8 - Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model
Lecture 9 - Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model (Continued...)
Lecture 10 - Software Implementation in Simple Linear Regression Model using MINITAB
Lecture 11 - Multiple Linear Regression Model
Lecture 12 - Estimation of Model Parameters in Multiple Linear Regression Model
Lecture 13 - Estimation of Model Parameters in Multiple Linear Regression Model (Continued...)
Lecture 14 - Standardized Regression Coefficients and Testing of Hypothesis
Lecture 15 - Testing of Hypothesis (Continued...) and Goodness of Fit of the Model
Lecture 16 - Diagnostics in Multiple Linear Regression Model
Lecture 17 - Diagnostics in Multiple Linear Regression Model (Continued...)
Lecture 18 - Diagnostics in Multiple Linear Regression Model (Continued...)
Lecture 19 - Software Implementation of Multiple Linear Regression Model using MINITAB
Lecture 20 - Software Implementation of Multiple Linear Regression Model using MINITAB (Continued...)
Lecture 21 - Forecasting in Multiple Linear Regression Model
Lecture 22 - Within Sample Forecasting
Lecture 23 - Outside Sample Forecasting
Lecture 24 - Software Implementation of Forecasting using MINITAB

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