Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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ESTIMATING THE CORRELATION COEFFICIENT IN A BIVARIATE NORMAL DISTRIBUTION USING MOVING EXTREME RANKED SET SAMPLING WITH A CONCOMITANT VARIABLE

  • Published : 2005.06.01
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Abstract

In this paper, we consider the estimation of the correlation coefficient in the bivariate normal distribution, based on a sample obtained using a modification of the moving extreme ranked set sampling technique (MERSS) that was introduced by Al-Saleh and Al-Hadhrami (2003a). The modification involves using a concomitant random variable. Nonparametric-type methods as well as the maximum likelihood estimation are considered under different settings. The obtained estimators are compared to their counterparts that are obtained based simple random sampling (SRS). It appears that the suggested estimators are more efficient

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References

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