In this present book Chapter-I is an introductory one. Chapter-II
describes the various criteria for selection of regressors in the
multiple regression analysis existing in this book. Chapter-III
deals with the basic stepwise regression procedures for variable
selection in multiple regression analysis and The mean square error
of prediction criterion has been discussed along with a similar
average estimated variance criterion for the selection of variables
in the general linear model. Chapter-IV presents the various
methods for choosing variable subsets in multiple linear regression
analysis under these methods, the mean squared prediction error has
been considered as basis of the criteria. Chapter-V proposes some
new criteria for selection of regressors in econometrics based on
different types of residuals such as Ordinary Least Squares,
Studentized and Predicted residuals. Chapter-VI depicts the main
conclusions of the present research study. It also narrates the
plan for future research as an extension in the lines of study.
Several relevant references have been documented under a separate
title "BIBLIOGRAPHY."
General
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