Zobrazeno 1 - 10
of 1 171
pro vyhledávání: '"Simple random sampling"'
Autor:
Manahil SidAhmed Mustafa, Sohaib Ahmad, Hassan M. Aljohani, Fatimah M. Alghamdi, Ramy Aldallal, Mohammed Elgarhy, Sanaa Mohammed Almarzouki, Suleman Nasiru
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The primary purpose of this article is to examine the issue of estimating the finite population distribution function from auxiliary information, such as population mean and rank of the auxiliary variables, that are already known. In order t
Externí odkaz:
https://doaj.org/article/963a961fdb654b6f9035077c8e2755ff
Autor:
Chen-Han Chueh, Pei-Kuan Ho, Wai-Hou Li, Ming-Neng Shiu, I.-Ting Wang, Yu-Wen Wen, Yi-Wen Tsai
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Hormone therapy (HT) use among menopausal women declined after negative information from the 2002 Women’s Health Initiative (WHI) HT study. The 2017 post-intervention follow-up WHI study revealed that HT did not increase long-te
Externí odkaz:
https://doaj.org/article/5aa359ebf7354303b867054d8bf8d221
Autor:
Anoop Kumar, Shashi Bhushan, Manahil SidAhmed Mustafa, Ramy Aldallal, Hassan M. Aljohani, Fatimah A. Almulhim
Publikováno v:
Alexandria Engineering Journal, Vol 95, Iss , Pp 236-246 (2024)
This paper addresses some classes of combined and separate imputation methods (CSIMs) of the population mean under stratified simple random sampling (SSRS) along with their characteristics. To the best of our knowledge, these imputation methods (IMs)
Externí odkaz:
https://doaj.org/article/f7bda299ff244e03ad63b8209c94c6eb
Autor:
Anoop Kumar, Asra Sayeed Siddiqui, Manahil SidAhmed Mustafa, Eslam Hussam, Hassan M. Aljohani, Fatimah A. Almulhim
Publikováno v:
Alexandria Engineering Journal, Vol 91, Iss , Pp 197-203 (2024)
In this article, we offer simple random sampling (SRS) based efficient class of estimators of population mean Y¯ utilizing additional information. The expression of the mean square error of the proposed class of estimators is deduced up to first deg
Externí odkaz:
https://doaj.org/article/156bf67897934facbcfb4a26b26397b6
Autor:
Philippe Aubry
Publikováno v:
MethodsX, Vol 13, Iss , Pp 102928- (2024)
Two-stage stratified sampling is a complex design that involves nested sampling units and stratification. This complexity increases when the strata have too few sampled units for variance estimation, necessitating the use of collapsed strata, where m
Externí odkaz:
https://doaj.org/article/8d4d487303e949dfb94c7b909278dedb
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36090- (2024)
With an emphasis on memory-type approaches, this study presents a class of estimators specifically designed for estimating population variation in simple random sampling (SRS). The term ‘memory-type’ pertaining to the use of exponentially weighte
Externí odkaz:
https://doaj.org/article/c36df6235dfc457fbf6a78f9260ecb31
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 8, Pp 102836- (2024)
In this article, we propose some direct and synthetic logarithmic estimators for estimating the domain mean of small area based on a simple random sampling design. The mean square error expressions of the proposed direct and synthetic estimators are
Externí odkaz:
https://doaj.org/article/ccc4c5987fd1464a967c0209af6d5364
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e33839- (2024)
This article considers the issue of domain mean estimation utilizing bivariate auxiliary information based enhanced direct and synthetic logarithmic type estimators under simple random sampling (SRS). The expressions of mean square error (MSE) of the
Externí odkaz:
https://doaj.org/article/0d4e0f58f6b7469bbf06fbaccf7df194
Publikováno v:
Research in Statistics, Vol 2, Iss 1 (2024)
The potential of this study for estimating the finite population variance of the study variable of a class of estimators by utilizing an auxiliary variable in simple random sampling is enormous. The asymptotic properties of the proposed class of esti
Externí odkaz:
https://doaj.org/article/87cc47bc4c2746009d1d20ef97fe01c6
Publikováno v:
Franklin Open, Vol 7, Iss , Pp 100101- (2024)
The estimation of domain mean in presence of missing data is a significant issue in sample surveys. Literature contains no imputation method to estimate the domain mean in the presence of missing data using bivariate auxiliary information. The presen
Externí odkaz:
https://doaj.org/article/37f7aa2ba9344739a63e5ff048c577f1