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Mixed random systematic sampling designs
Authors:Kuo-Chung?Huang  author-information"  >  author-information__contact u-icon-before"  >  mailto:hkc@cit.edu.tw"   title="  hkc@cit.edu.tw"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) Department of Business Administration, Chung-Yu Institute of Technology, 40 Yi-Seventh Road, 000, 000 Keelung, Taiwan 201, R.O.C., no state
Abstract:In this paper, an alternative sampling procedure that is a mixture of simple random sampling and systematic sampling is proposed. It results in uniform inclusion probabilities for all individual units and positive inclusion probabilities for all pairs of units. As a result, the proposed sampling procedure enables us to estimate the population mean unbiasedly using the ordinary sample mean, and to provide an unbiased estimator of its sampling variance. It is also found that the suggested sampling procedure performs well especially when the size of simple random sample is small.Received August 2001
Keywords:Horvitz-Thompson estimator  inclusion probability  simple random sampling  systematic sampling  unbiased variance estimation
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