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A high Entropy Procedure for Unequal Probability Sampling.
Author(s):
1. Aftab Ahmad: National College of Business Administration and Economics, Lahore, Pakistan
2. Muhammad Hanif: National College of Business Administration and Economics, Lahore, Pakistan
Abstract:
In survey sampling we select a random sample according to some specified random fashion. We focused to apply innovative approach of maximum entropy sampling to develop a new easily executable procedure to determine the probability function in unequal probability sampling and it needs no iteration to compute inclusion probabilities of any order. The empirical comparison of this procedure shows that Horvitz & Thompson (1952) population total estimate has high entropy and lower variance than that of the Yates and Grundy (1953), Brewer (1963) and Prabhu and Ajgankar (1982) selection procedures.
Page(s): 409-423
DOI: DOI not available
Published: Journal: Pakistan Journal of Statistics, Volume: 32, Issue: 6, Year: 2016
Keywords:
Keywords are not available for this article.
References:
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