Modified median quartile double ranked set sampling for estimation of population mean

被引：0

作者：

Shehzad, Muhammad Ahmed ^{[1
]}

Nisar, Anam ^{[1
]}

Khan, Aamna ^{[1
]}

Emam, Walid ^{[2
]}

Tashkandy, Yusra ^{[2
]}

Khurram, Haris ^{[3
,6
]}

Al-Shbeil, Isra ^{[4
,5
]}

机构：

[1] Bahauddin Zakariya Univ, Dept Stat, Multan, Pakistan

[2] King Saud Univ, Coll Sci, Dept Stat & Operat Res, POB 2455, Riyadh 11451, Saudi Arabia

[3] Natl Univ Comp & Emerging Sci, Dept Sci & Humanities, Chiniot Faisalabad Campus, Chiniot, Pakistan

[4] Univ Jordan, Fac Sci, Dept Math, Amman 11942, Jordan

[5] Univ Ottawa, Dept Math & Stat, Ottawa, ON K1N 6N5, Canada

[6] Prince Songkla Univ, Fac Sci & Technol, Dept Math & Comp Sci, Pattani Campus, Pattani, Thailand

来源：

HELIYON | 2024年 / 10卷 / 14期

关键词：

Ranked set sampling (RSS); Median double ranked set sampling (MDRSS); Quartile double ranked set sampling (QDRSS); Extreme double ranked set sampling (EDRSS); Population mean;

D O I：

10.1016/j.heliyon.2024.e34627

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Environmental monitoring and assessment aim to gather data economically, without bias, using efficient and cost-effective sampling methods. One such traditional method is Ranked Set Sampling (RSS), often employed to achieve observational economy. This article introduces an innovative two-stage sampling approach for ranked set sampling (RSS) to get a more precise estimate of the population mean. Modified Median Quartile Double Ranked Set Sampling (MMQDRSS) highlights the ranked base technique's potential as a cost-effective sampling method. To evaluate the performance of the proposed estimator by using real-life data and conducting a simulation study to compare the relative efficiency of the proposed estimator with some existing methods.

引用

页数：18

共 17 条

[1]

Abujiya M., 2007, J STAT THEORY APPL, V6, P408

[2] Quality control chart for the mean using double ranked set sampling [J].