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An Improved Mean Estimator in Unbalanced Ranked Set Samples
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Ehsan Zamanzade *   |
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Abstract: (10304 Views) |
In this paper, an improved mean estimator for unbalanced ranked set samples is proposed. The estimator is obtained by using the fact that distribution function of order statistics are stochastically ordered. Also, it is showed that this estimator is convergent and has better performance than its empirical counterpart in unbalanced ranked set samples. |
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| Keywords: Mean Estimation, Unbalanced Ranked Set Sampling, Isotonic Regression |
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Full-Text [PDF 398 kb]
(2624 Downloads)
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Type of Study: Research |
Subject:
Statistical Inference
Received: 2014/06/7 | Accepted: 2014/10/15 | Published: 2014/10/15
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