Double-ranked set sampling

Al-Saleh, Mohammad Fraiwan; Kadiri, Mohammad Al

doi:10.1016/s0167-7152(99)00206-0

Cited by 145 publications

(66 citation statements)

References 8 publications

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“…For this purpose, we define the following Relative Precisions (RP). (1) μ is a an unbiased estimator (1) μ is a biased estimator (2) μ is an unbiased estimator (2) μ is a biased estimator…”

Section: Comparision Of Estimatorsmentioning

confidence: 99%

“…A sample of size m was selected and ranked. Let X (1) s,m be the s th smallest rank of the sample, where s=1,2,...,m.…”

Section: A Corollary-1mentioning

confidence: 99%

“…Muttalak(2003) proposed Quartile Ranked Set Sampling (QRSS) for estimating population mean is also applicable for reducing error as compared to RSS. Al-Saleh and Al- Kadiri (2000) suggested Double Ranked Set Sampling (DRSS) for estimating the population mean. According to them the ranking at second stage is easier than first stage.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Double Partitioned Ranked Set Sampling: An Efficient Estimation Technique

Panda¹

2017

IJRASET

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Section: Comparision Of Estimatorsmentioning

confidence: 99%

“…A sample of size m was selected and ranked. Let X (1) s,m be the s th smallest rank of the sample, where s=1,2,...,m.…”

Section: A Corollary-1mentioning

confidence: 99%

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Double Partitioned Ranked Set Sampling: An Efficient Estimation Technique

Panda¹

2017

IJRASET

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“…Samawi and Muttlak [6] suggested RSS method for estimating the population ratio. Al-Saleh and Al-Kadiri [1] suggested double ranked set sampling method (DRSS) for estimating the population mean and they showed that the ranking at the second stage is easier than the ranking at the first stage. Muttlak [5] proposed percentile ranked set sampling (PRSS) for estimating the population mean.…”

Section: Introductionmentioning

confidence: 99%

Percentile Double Ranked Set Sampling

Al-Omari¹,

Jaber²

2008

J. of Mathematics and Statistics

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Abstract:In this paper, percentile double ranked set sampling (PDRSS) method is suggested for estimating the population mean. The PDRSS method is compared with the simple random sampling (SRS), ranked set sampling (RSS), median ranked set sampling (MRSS) and the extreme ranked set sampling (ERSS) methods. When the underlying distribution is symmetric, it turns out that PDRSS produce unbiased estimators of the population mean and it is more efficient than SRS, RSS, MRSS and ERSS based on the same sample size. For asymmetric distribution considered in this study, it is shown that PDRSS has a small bias and it is more efficient than RSS, MRSS and ERSS for most cases considered in this study.

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“…We may repeat steps 1, 2 and 3 k-times to obtain DRSS sample of size n = rk. In DRSS, ranking in the second stage is easier than ranking in the first stage, (see Al-Saleh and Al-Kadiri, 2000).…”

Section: Introductionmentioning

confidence: 99%

Vol. 1, No. 2 (Full Issue)

2002

J. Mod. App. Stat. Meth.

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Double-ranked set sampling

Cited by 145 publications

References 8 publications

Double Partitioned Ranked Set Sampling: An Efficient Estimation Technique

Double Partitioned Ranked Set Sampling: An Efficient Estimation Technique

Percentile Double Ranked Set Sampling

Vol. 1, No. 2 (Full Issue)

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