Optimum stratification using auxiliary variables

Khan, Mohammad G.M. and Prasad, Vikashni D and Rao, Dinesh K. (2014) Optimum stratification using auxiliary variables. The Aligarh Journal of Statistics, 34 . pp. 85-104. ISSN 0971-0388

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Abstract

The problem of determining optimum strata boundaries (OSB), when the frequency distribution of survey (or main) information is known, is discussed by many authors and is available in sampling literature. However, many of these authors made an unrealistic assumption that the frequency distribution of study variable is known prior to conducting the survey. In this manuscript, we discuss
the problems of determining the optimum stratifications, when the frequency distribution of auxiliary variable is known. If the stratification of survey variable is made using the auxiliary variable it may lead to substantial gains in precision of the estimates. Moreover, often the auxiliary information is easily available or can be made available with a minimum cost and effort. In this manuscript, the problems of constructing optimum stratification is discussed for two study variables based on the auxiliary variables that follow respectively a uniform and a right-triangular distribution. The problems of determining the OSB are formulated as Nonlinear Programming Problems (NLPP), which turn out to be multistage decision problems and are solved using dynamic programming techniques.

Item Type:	Journal Article
Subjects:	H Social Sciences > HA Statistics
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
Depositing User:	Ms Shalni Sanjana
Date Deposited:	16 Nov 2014 20:08
Last Modified:	15 Mar 2017 21:55
URI:	https://repository.usp.ac.fj/id/eprint/7804

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