Definitions and forms of linear models, Functionally related models, Mean related model, Model classification. Least squares and unbiased estimation, Best linear unbiased estimation, Multiple regression analysis, Various approaches of subset selection procedures, Heterosedasticity, Autocorrelation, Multicollinearity, Outliers Diagnostics. Non-Linear Models.

To enable students to handle qualitative and quantitative data of cross sectional type and to fit adequate model, to check their diagnostics and to decide remedial in case of violation of assumptions.

The students will be able to have a deeper understanding of the linear regression model and its limitations. The students can familiarize how to diagnose and apply corrections to some problems with the generalized linear model found in real data. They can be able to understand generalizations of the linear model to binary and count data.

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Book Title : Applied Linear Regression

Author : SANFORD WEISBERG

Edition : 4th

Publisher : John Wiley & sons, inc., Punlication

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Book Title : Applied Linear Statistical Models

Author : Michael H. Kutner, Christopher J. Nachtsheim, John Neter, William Li

Edition : 5th

Publisher : McGraw-Hill!Irwin

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Book Title : Handbook of Regression Analysis

Author : Samprit Chatterjee, Jeffrey S. Simonoff

Edition :

Publisher : John Wiley & sons, inc., Punlication

Book Title : Introduction to Linear Regression Analysis

Author : Montgomery, Peck, Vining

Edition : 5th

Publisher : John Wiley & sons, inc., Punlication

Title : Applied Linear Regression

Type : Reference Book

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Title : Applied Linear Statistical Models

Type : Reference Book

View Applied Linear Statistical Models

Title : Handbook of Regression Analysis

Type : Reference Book

View Handbook of Regression Analysis

Title : Introduction to Linear Regression Analysis

Type : Reference Book

View Introduction to Linear Regression Analysis

Title : Simple Linear Regression Introduction

Type : Presentation

View Simple Linear Regression Introduction

Title : Simple Linear Regression

Type : Presentation

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Title : Multiple Regression Analysis

Type : Presentation

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Title : Multiple Regression Analysis Example

Type : Presentation

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Title : Least Square

Type : Presentation

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Title : Functional Form of Regression

Type : Presentation

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Title : Introduction to Regression Analysis

Type : Presentation

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Title : Model selection

Type : Presentation

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Title : Variable Selection

Type : Presentation

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Title : Multicollinearity

Type : Presentation

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Title : Autocorrelation

Type : Presentation

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Title : hetroscedasticity

Type : Presentation

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Title : Linear Regression

Type : Other

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Title : Simple Linear Regression model

Type : Other

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Title : Multiple Regression Analysis

Type : Other

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Title : Multiple Linear Regression Model

Type : Other

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Title : Functional Form of Regression Models

Type : Other

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Title : Model selection

Type : Other

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Title : Automated Selection Procedure

Type : Other

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Title : Remedial Measures

Type : Other

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Title : Multicollinearity

Type : Other

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Title : Autocorrelation

Type : Other

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Title : hetroscedasticity

Type : Other

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Title : Non Linear Models

Type : Other

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