Abstract
A cost-effective, efficient and anti-wasting sampling units scheme named quartile pair ranked set sampling (QPRSS) for estimating the population mean is presented in this study. This scheme offers an unbiased estimator for the population mean when the distribution is symmetric and variance of mean per unit estimator under QPRSS is always smaller than the variance of mean per unit estimator under simple random sampling (SRS). On the basis of exact ranking, Monte Carlo simulations from several symmetric and nonsymmetric distributions are utilized to assess the performance of the suggested QPRSS mean estimator. Simulation findings demonstrated that the QPRSS estimator is more efficient than their competitors using SRS, pair ranked set sampling and extreme pair ranked set sampling for all distributions considered in this study.
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 callMore From: Proceedings of the National Academy of Sciences, India Section A: Physical Sciences
Disclaimer: 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.
