期刊名称:Pakistan Journal of Statistics and Operation Research
印刷版ISSN:2220-5810
出版年度:2010
卷号:6
期号:2
页码:149-162
DOI:10.1234/pjsor.v6i2.141
语种:English
出版社:College of Statistical and Actuarial Sciences
摘要:In this paper an attempt is made to extend linear systematic sampling using multiple random starts due to Gautschi(1957)for various types of systematic sampling schemes available in literature, namely(i) Balanced Systematic Sampling (BSS) of Sethi (1965) and (ii) Modified Systematic Sampling (MSS) of Singh, Jindal, and Garg (1968). Further, the proposed methods were compared with Yates corrected estimator developed with reference to Gautschi’s Linear systematic sampling (LSS) with two random starts using appropriate super population models with the help of R package for statistical computing.
关键词:Multiple random starts, Systematic sampling, Yates corrected estimator, Average variance