2020
DOI: 10.5336/biostatic.2019-72403
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Performances of the Distribution Function Estimators Based on Ranked Set Sampling Using Body Fat Data

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Cited by 3 publications
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“…Recently, statistical inference for mean, total, variance and quantiles have been discussed by Ozturk [25,26,27], Ozturk and Bayramoglu Kavlak [28,29] in finite population setting. Also, Sevil and Yildiz [30,31] and Yildiz and Sevil [32,33] proposed the following empirical distribution function (EDF) in finite population setting.…”
Section: Introductionmentioning
confidence: 99%
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“…Recently, statistical inference for mean, total, variance and quantiles have been discussed by Ozturk [25,26,27], Ozturk and Bayramoglu Kavlak [28,29] in finite population setting. Also, Sevil and Yildiz [30,31] and Yildiz and Sevil [32,33] proposed the following empirical distribution function (EDF) in finite population setting.…”
Section: Introductionmentioning
confidence: 99%
“…They proved that the EDF is unbiased and is more efficient than the EDF based on SRS. Moreover, the EDFs based on the sampling designs was applied to air quality data by Yildiz and Sevil [33] and to body mass index by Sevil and Yildiz [31]. Ozturk et al [34] showed that the procedure of RSS can be used to collect data from farm animals, such as sheep, cattle and cows.…”
Section: Introductionmentioning
confidence: 99%
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“…It is appropriate to employ RSS in many fields where sampling schemes cost a lot of human strength and money. It has a widespread application in the domains of the environment, biology, engineering applications, and agriculture (see [17][18][19][20]). Recently, the authors in Ref.…”
Section: Introductionmentioning
confidence: 99%