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An Optimal Scheme of Inclusion Probability Proportional to Size Sampling
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 Title & Authors
An Optimal Scheme of Inclusion Probability Proportional to Size Sampling
Kim Sun Woong;
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 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;
 Language
English
 Cited by
 References
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