%0 Journal Article
%T SOME SYSTEMATIC SAMPLING STRATEGIES USING MULTIPLE RANDOM STARTS
%A Sampath Sundaram
%A Ammani Sivaraman
%J Pakistan Journal of Statistics and Operation Research
%D 2010
%I University of the Punjab
%R 10.1234/pjsor.v6i2.141
%X 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.
%K Multiple random starts
%K Systematic sampling
%K Yates corrected estimator
%K Average variance
%U http://www.pjsor.com/index.php/pjsor/article/view/141