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Additional Circular Systematic Sampling Methods
Author(s) -
Uthayakumaran N.
Publication year - 1998
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/(sici)1521-4036(199808)40:4<467::aid-bimj467>3.0.co;2-w
Subject(s) - systematic sampling , sample size determination , sampling (signal processing) , statistics , mathematics , population , population mean , sample (material) , sampling design , poisson sampling , variance (accounting) , slice sampling , importance sampling , monte carlo method , computer science , filter (signal processing) , computer vision , chemistry , demography , accounting , chromatography , estimator , sociology , business
Abstract Several systematic sampling methods have been used to estimate the population mean when size of the population is a multiple of sample size. Among these, only few methods have been extended and used to estimate mean of the population when its size is not a multiple of sample size. In this paper, new methods called balanced circular systematic sampling and centered circular systematic sampling are introduced by extending balanced systematic sampling method and centered systematic sampling method respectively. These methods are compared with circular systematic sampling using average variance of corrected sample means for populations exhibiting approximate linear and parabolic trends. The suggested methods are found suitable to estimate the population mean.