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Home  >  Volume 21 (2012)

Comparison of some Approximately Unbiased Ratio Estimators using a Monte Carlo Approach under Non Normal Error Regression Model by F. B. Adebola Volume 21 (May, 2012), pp 177 - 188
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Abstract

This paper compares seven approximately unbiased ratio estimators along side with the classical ratio estimator under a non-normal linear regression model. The variances, bias, mean squared errors and efficiencies of these estimators for the ratio of population means of two characters were compared using Monte Carlo. Our findings revealed that  A    estimator is the best.

Keywords: Approximately Unbiased, Mean Square error, Efficiency, Regression model, Ratio Estimator, Bias, Auxiliary 

     variable.

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