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Transformations in Regression Analysis by Kunal Mitra is a document available to read on EtoBox.
What is Transformations in Regression Analysis about?
This document discusses methods for correcting model inadequacies through data transformation when assumptions of regression analysis are violated. It describes variance stabilizing transformations that can be used when the variance of disturbances is not constant. Examples of commonly used transformations are provided. The document also discusses transforming nonlinear models into linear models to take advantage of statistical tools for linear regression. The Box-Cox method allows simultaneous estimation o
- Author
- Kunal Mitra
- Language
- EN