Analysis of Transformations and Their Applications in Statistics: Extended Box and Cox Transformation Regression G. Mokesh Rayalu

This book describes the analysis of transformations and their applications in regression analysis. Some new estimation procedures for estimating the parameters of the various Box and Cox transformation regression models with Autoregressive/Moving Average Process have been developed by using internally studentized residuals. The lagged dependent variable is induded as a regressor in the extended Box and Cox transformation regression model and then estimated its parameters by using the maximum likelihood estimation. In this book, it has been made to described the analysis of transformations and their applications in regression analysis.