期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2017
卷号：16
期号：1
页码：28-39
DOI：10.2991/jsta.2017.16.1.3
语种：English
出版社：Atlantis Press
摘要：In this paper an efficient estimation procedure to estimate the current population mean in two-occasion successive sampling has been developed. An exponential regression type estimator of current population mean is proposed and corresponding optimum replacement strategy has been suggested. The superiority of the proposed estimator is empirically established over sample mean estimator and natural successive sampling estimator. Results are interpreted and suitable recommendations have been made.
