Multistage Median Ranked Set Sampling for Estimating the Population Median
نویسندگان
چکیده
منابع مشابه
Multistage Median Ranked Set Sampling for Estimating the Population Median
We modify RSS to come up with new sampling method, namely, Multistage Median Ranked Set Sampling (MMRSS). The MMRSS was suggested for estimating the population median and to increase the efficiency of the estimator for specific value of the sample size. The MMRSS was compared to the Simple Random Sampling (SRS), Ranked Set Sampling (RSS) and Median Ranked Set Sampling (MRSS) methods. It is foun...
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In this paper, for the Stratified Median Ranked Set Sampling (SMRSS), proposed by Ibrahim et al. (2010), we examine the proportional and optimum sample allocations that are two well-known methods for sample allocation in stratified sampling. We show that the variances of the mean estimators of a symmetric population in SMRSS using optimum and proportional allocations to strata are smaller than ...
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The application of ranked set sampling (RSS) techniques to data from a dichotomous population is currently an active research topic, and it has been shown that balanced RSS leads to improvement in precision over simple random sampling (SRS) for estimation of a population proportion. Balanced RSS, however, is not in general optimal in terms of variance reduction for this setting. The objective o...
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Currently, the threshold T must be entered manually, based on given or estimated values for the SNR of the degraded image. Future work will look at ways to automate this process. Also, we found that at very low SNR, the AMP median filter introduces a few speckles into the restored image. We suspect that this may be due to incorrect adaption in regions of exceptionally high noise levels. Further...
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ژورنال
عنوان ژورنال: Journal of Mathematics and Statistics
سال: 2007
ISSN: 1549-3644
DOI: 10.3844/jmssp.2007.58.64