Abstract
This paper presents an efficient class of estimators for estimating the population mean of the variate under study in two-phase sampling using information on several auxiliary variates. The expressions for bias and mean square error (MSE) of the proposed class have been obtained using Taylor series method. In addition, the minimum attainable MSE of the proposed class is obtained to the first order of approximation. The proposed class encompasses a wide range of estimators of the sampling literature. Efficiency comparison has been made for demonstrating the performance of the proposed class. An attempt has been made to find optimum sample sizes under a known fixed cost function. Numerical illustrations are given in support of theoretical findings.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
