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Optimum stratification: a mathematical programming approach

Khan, E.A. and Khan, Mohammad G.M. and Ahsan, M.J. (2002) Optimum stratification: a mathematical programming approach. Calcutta Statistical Association Bulletin, 52 . pp. 323-333. ISSN 0008-0683

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Abstract

The problem of determining the optimum strata boundaries, when the main study variable is used as stratification variable and a stratified sample, using Neyman allocation (for a fixed total sample size) is to be selected to estimate the population mean ( or total ), is formulated as a mathematical programing problem (MPP). It has been shown that with some modification this MPP may be converted into a multi stage decision problem that could be solved using dynamic programming technique. Two numerical examples are also presented to illustrate the computational details.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
Depositing User: Ms Neha Harakh
Date Deposited: 17 Nov 2002 10:50
Last Modified: 16 Mar 2017 10:13
URI: http://repository.usp.ac.fj/id/eprint/2699
UNSPECIFIED

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