Estimators for a Poisson parameter using ranked set sampling

Vic Barnett and Maria Cecilia Mendes Barreto

Journal of Applied Statistics, 2001, vol. 28, issue 8, 929-941

Abstract: Using ranked set sampling, a viable BLUE estimator is obtained for estimating the mean of a Poisson distribution. Its properties, such as efficiency relative to the ranked set sample mean and to the maximum likelihood estimator, have been calculated for different sample sizes and values of the Poisson parameter. The estimator (termed the normal modified r.s.s. estimator is more efficient than both the ranked set sample mean and the MLE. It is recommended as a reasonable estimator of the Poisson mean ( u ) to be used in a ranked set sampling environment.

Date: 2001
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DOI: 10.1080/02664760120076616

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