Improved Modified Classes of Regression Type Estimators of Finite Population Mean in the Presence of Auxiliary Attribute

Abstract

In this research, estimators are suggested to improve modified classes of regression type estimators of finite population mean. The essence of proposing the estimators is as a result of the assumption that there may be weak relationship between study variable and auxiliary attribute. Properties (Biases and MSEs) of the proposed estimators are procured using Taylor series method. The efficiency conditions under which the proposed estimators are better than other related ones are established. Empirical findings are incentive and the results shown that the proposed estimators are more proficient compare to the existing estimators considered in the study.