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 ...

When fitting a generalized linear model--such as linear regression, logistic regression, or hierarchical linear modeling--analysts often wonder how to handle missing values of the dependent variable Y ...

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 ...