A Simplified Selection Scheme for Unequal Probability Sampling Without Replacement

Authors

  • Neeraj Tiwari Department of Statistics, Kumaun University, Almora-263601, Uttarakhand, India.
  • Akhil Chilwal Department of Statistics, Kumaun University, Almora-263601, Uttarakhand, India.

Keywords:

Inclusion probability, joint inclusion probability, unequal probability sampling

Abstract

In this paper we present a new inclusion probability proportional size (IPPS) sampling scheme which have some desirable properties of IPPS sampling and providing an unbiased and non-negative variance estimator under the Horvitz-Thompson model. I also consider an empirical study to examine the performance of the proposed sampling scheme compared to some standard IPPS sampling schemes.

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How to Cite

Tiwari, N., & Chilwal, A. (2015). A Simplified Selection Scheme for Unequal Probability Sampling Without Replacement. Thailand Statistician, 11(2), 133–141. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/34209

Issue

Vol. 11 No. 2 (2013): JULY

Section

Articles