A Comparative study of ratio estimators of population mean using simulation techniques
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Date
2019
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CCSHAU
Abstract
The ratio estimators are often employed to estimate the population mean of a study variable with the help of an auxiliary variable which are positively correlated with each other. In the present study, different ratio estimators available in literature were reviewed by using simulation technique. Two different populations were generated using bivariate normal distribution. From the generated population samples of various sizes were drawn using simple random sampling without replacement method for different correlation coefficient. Different ratio estimators were compared with respect to bias, mean square error and relative efficiency using simulation techniques. To describe the sampling distribution of different ratio estimators, skewness and kurtosis measures were computed.
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