On the Improvement of Paired Ranked Set Sampling to Estimate Population Mean

• Autorzy: Syed Abdul Rehman , Javid Shabbir
• Języki publikacji: EN

Abstrakty

EN

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)

Słowa kluczowe

EN

Statistics; Estimators; Effectiveness; Ranking

PL

Statystyka; Estymatory; Efektywność; Ranking

• Czasopismo: Statistics in Transition
• Rocznik: 2021
• Tom: 22
• Numer: nr 3
• Strony: 193--205

Twórcy

autor

Syed Abdul Rehman

• Balochistan University of Information Technology, Engineering and Management Sciences, Pakistan

autor

Javid Shabbir

• Quaid-i-Azam University, Islamabad, Pakistan

Bibliografia

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Identyfikatory

DOI

10.21307/stattrans-2021-034