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Author
Rehman Syed Abdul (Balochistan University of Information Technology, Engineering and Management Sciences, Pakistan), Shabbir Javid (Quaid-i-Azam University, Islamabad, Pakistan)
Title
On the Improvement of Paired Ranked Set Sampling to Estimate Population Mean
Source
Statistics in Transition, 2021, vol. 22, nr 3, s. 193-205, tab., bibliogr. 21 poz.
Keyword
Statystyka, Estymatory, Efektywność, Ranking
Statistics, Estimators, Effectiveness, Ranking
Note
summ.
Abstract
In ecological and environmental sampling the quantification of units is either difficult or overly demanding in terms of the time, money, workload, it requires. For this reason efficient and cost-effective sampling methods need to be devised for data collecting. The most commonly used method for this purpose is the Ranked Set Sampling (RSS). In this paper, a sampling scheme called Improved Paired Ranked Set Sampling (IPRSS) is proposed to estimate the population mean. The performance of the proposed IPRSS is evaluated under perfect and imperfect rankings. A simulation study based on selected hypothetical distributions and a real-life data set showed that IPRSS is more precise than RSS, Paired RSS (PRSS) or Extreme RSS (ERSS).(original abstract)
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The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
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Bibliography
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ISSN
1234-7655
Language
eng
URI / DOI
http://dx.doi.org/10.21307/stattrans-2021-034
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