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close this section of the library Sharma, Sushita


View the PDF document Use of mathematical programming in sampling
Author: Sharma, Sushita
Institution: The University of the South Pacific
Award: M.Sc. Mathematics
Subject: Sampling (Statistics) -- Computer programs
Date: 2017
Call No.: QA 276 .4 .S87 2017
BRN: 1349555
Copyright:40-60% of this thesis may be copied without the authors written permission

Abstract: Stratified random sampling is one of the most commonly used techniques in sample surveys as it increases the precision of the estimate of the population parameters. In this technique, two basic problems, that is, the problem of constructing optimum stratum boundaries (OSB) and the problem of determining sample allocation to different strata are well known in the sampling literature. To increase the precision in the estimates of population parameters these problems are to be addressed by the sampler while using stratified sampling. There are several methods available to determine the OSB when the frequency distribution of the study (or a correlated) variable is available. However, many of these attempts have been made with an unrealistic assumption that the frequency distribution and the stratum variances of the target population are known prior to conducting the survey.
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