Abstract

An analytical approach for finding the best sampling design subject to a cost constraint is developed. We consider stratified random sampling design when elements of the inclusion probabilities are not equal but are in same stratum and proposed estimators of totals for domains of study under non-response in the context of calibration estimation. We derived optimum stratum sample sizes for a given set of unit costs for the sample design and compared empirically the relative performances of the proposed calibration estimators with a corresponding global estimator. Analysis and evaluation are presented.

Author: E. P. Clement, G. A. Udofia and Ekaette I. Enang

Received on: December, 2013

Accepted on: February, 2015