An optimal controlled selection procedure for sample coordination problem using linear programming and distance function

Year 2015, Volume: 44 Issue: 1, 215 - 228, 01.02.2015

Neeraj Tiwari Akhil Chilwal

Abstract

A number of procedures have been developed for maximizing and minimizing the overlap of sampling units in different/repeated surveys. The
concepts of controlled selection, transportation theory and controlled
rounding have been used to solve the sample co-ordination problem.
In this article, we proposed a procedure for sample co-ordination problem using linear programming with the concept of distance function
that facilitates variance estimation using the Horvitz-Thompson estimator. The proposed procedure can be applied to any two-sample surveys having identical universe and stratification. Some examples have
been considered to demonstrate the utility of the proposed procedure
in comparison to the existing procedures.

Keywords

Controlled Sampling, Distance Function, Sample Coordination, Variance Estimation

References

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