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 ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...