New Estimator Improves Accuracy of Coefficients in Linear Regression Models
The article explores a new way to estimate coefficients in a linear regression model. By using the c-(K,S) class estimator, researchers found that it provides better estimates than the traditional least square estimator. This new method helps improve the accuracy of predicting outcomes in linear regression models.