Estimation of finite population mean in presence of maximum and minimum values under systematic sampling scheme | Zendy

Anum Iftikhar | Zendy; Shi Hong-bo | Zendy; Saddam Hussain | Zendy; Ather Qayyum | Zendy; Mahmoud El-Morshedy | Zendy; Sanaa Al-Marzouki | Zendy

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Estimation of finite population mean in presence of maximum and minimum values under systematic sampling scheme

Author(s) -

Anum Iftikhar,

Shi Hong-bo,

Saddam Hussain,

Ather Qayyum,

Mahmoud El-Morshedy,

Sanaa Al-Marzouki

Publication year - 2022

Publication title -

aims mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.329

H-Index - 15

ISSN - 2473-6988

DOI - 10.3934/math.2022547

Subject(s) - estimator , population mean , mathematics , mean squared error , statistics , population , variable (mathematics) , standard error , sampling scheme , sample size determination , mathematical analysis , demography , sociology

Estimators for the finite population mean of the research variable are proposed in this article, employing ratio, product, and regression type estimators, all of which need just one auxiliary variable. A first-order approximation is developed for the mean squared errors of the techniques provided. It has been proven theoretically that the suggested estimators perform better than current estimators, and these theoretical conditions have been validated numerically using four data sets.

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