Optimized inferences of finite population mean using robust parameters in systematic sampling.

ABSTRACT: In this article, we have proposed a generalized estimator for mean estimation by combining the ratio and regression methods of estimation in the presence of auxiliary information using systematic sampling. We incorporated some robust parameters of the auxiliary variable to obtain precise estimates of the proposed estimator. The mathematical expressions for bias and mean square error of proposed the estimator are derived under large sample approximation. Many other generalized ratio and product-type estimators are obtained from the proposed estimator using different choices of scalar constants. Some special cases are also discussed in which the proposed generalized estimator reduces to the usual mean, classical ratio, product, and regression type estimators. Mathematical conditions are obta

SUBMITTER: Shaheen N 

PROVIDER: S-EPMC9870168 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature