Some Systematic Sampling Strategies Using Multiple Random Starts

Some Systematic Sampling Strategies Using Multiple Random Starts

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Article ID: iaor20118347
Volume: 6
Issue: 2
Start Page Number: 149
End Page Number: 162
Publication Date: Jul 2010
Journal: Pakistan Journal of Statistics and Operation Research
Authors: ,
Keywords: resampling
Abstract:

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.

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