[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5351/CKSS.2005.12.1.181

An Optimal Scheme of Inclusion Probability Proportional to Size Sampling

Kim Sun Woong (Department of Statistics, Dongguk University)

Publication Information

Communications for Statistical Applications and Methods / v.12, no.1, 2005 , pp. 181-189 More about this Journal

Abstract

This paper suggest a method of inclusion probability proportional to size sampling that provides a non-negative and stable variance estimator. The sampling procedure is quite simple and flexible since a sampling design is easily obtained using mathematical programming. This scheme appears to be preferable to Nigam, Kumar and Gupta's (1984) method which uses a balanced incomplete block designs. A comparison is made with their method through an example in the literature.

Keywords

Sen-Yates-Grundy variance estimator; Balanced incomplete block designs; Mathematical programming;

Citations & Related Records

Reference

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