The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Nearest neighbor regression and kernel regression have been discussed toward imputing missing data in survey sampling for decades. In this study, methods of regression imputation are examined for ...

Regression imputation is commonly used to compensate for item nonresponse when auxiliary data are available. It is common practice to compute survey estimators by treating imputed values as observed ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...