In this Book, an attempt has been made by focusing on SDLC process composed at the project level and their behavioral over time. The process behavior is monitored across projects performance is modeled by identifying the relevant dependent and independent variable. A Multiple linear regression model has been specified to predict total defects in the code by studying various process variables. This model confirms coding effort and testing effort would significantly influence the total defects present in the code. One can make predictions on the number of defects present in the code by...

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...

In the Present book Chapter -I contains the general introduction about the model selection. Chapter-II speaks about the various inferential problems of linear statistical models. The distributional properties of the OLS estimators have been presented in this chapter. It also contains the procedure of testing the general linear hypothesis .Chapter-III deals with the existing criteria for model selection given in the literature. Chapter-IV proposes some new techniques for selection of linear statistical models pertaining both the nested and non-nested linear regression models. Chapter-V...