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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 this present book Chapter-I is an introductory one. In Chapter - II, a careful observation has been made on relative importance of explanatory variable in multiple regression employing partial standardization technique. In Chapter - III, Method of path analysis has been employed to trace out the variable importance of maternal anthropometric indicators on pregnancy outcome. In Chapter - IV, The study of variable importance has been generated in the light of logistic regression employing the study of second cancer and its risk factors. In Chapter - V, a few machine learning techniques such...