DERIVATIONS AND COMPARISON OF MEAN SQUARE ERRORS OF SOME ALMOST UNBIASED RATIO ESTIMATORS UNDER A PARTICULAR MODEL

Title of Publication: DERIVATIONS AND COMPARISON OF MEAN SQUARE ERRORS OF SOME ALMOST UNBIASED RATIO ESTIMATORS UNDER A PARTICULAR MODEL
Author(s): F .B. ADEBOLA, K.J. BASSEY
Year of Publication: 2011
Abstract
Over the years, several ratio type estimators which satisfies the criterion of approximately or almost unbiased ratio estimators have been proposed by several authors. In this paper, the mean square errors of outstanding seven almost unbiased ratio estimators are derived under a particular regression model, and compared to obtain the most efficient among them.
Keywords: Efficiency; MSE; Ratio Estimator; Regression Model; Unbiasedness;
                  Variance Function.

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