Improved Linear Regression Using Auxillary Informations

Abstract

The present study was taken under consideration in order to propose improved linear regression using auxiliary information’s of coefficient of regression, coefficient of skewness, coefficient of variation in order to achieve more precision in estimates than the already existing estimators. The properties associated with the proposed estimators are assessed by mean square error and bias and compared with the existing estimators. In the support of the theoretical proposed work we have given numerical illustration.