Zobrazeno 1 - 10
of 3 919
pro vyhledávání: '"relative efficiency"'
Autor:
Tewari, Shobha, Arya, Alka
Publikováno v:
Benchmarking: An International Journal, 2023, Vol. 31, Issue 9, pp. 2839-2870.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BIJ-05-2022-0286
Autor:
Olayan Albalawi
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 33139-33160 (2024)
In this research paper, an improved set of estimators for finding the finite population variance of a study variable under a stratified two-phase sampling design is introduced. These estimators rely on information about extreme values and the ranks o
Externí odkaz:
https://doaj.org/article/e5bade570df34616be4acc511186a7b5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Time-based surveys often experience missing data due to several reasons, like non-response or data collection limitations. Imputation methods play an essential role in incorporating these missing values to secure the accuracy and reliability
Externí odkaz:
https://doaj.org/article/3e4cc3241f1146298db2cee74decb01a
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-15 (2024)
Abstract The study addressed the limitations of classical statistical methods when dealing with ambiguous data, emphasizing the importance of adopting neutrosophic statistics as a more effective alternative. Classical methods falter in managing uncer
Externí odkaz:
https://doaj.org/article/4114c16cb99a489692a53854ec3272b8
Autor:
H.E. Semary, Sohaib Ahmad, Ibrahim Elbatal, Christophe Chesneau, Mohammed Elgarhy, Ehab M. Almetwally
Publikováno v:
Alexandria Engineering Journal, Vol 99, Iss , Pp 130-136 (2024)
In this article, we present a comprehensive class of estimators designed for population proportion estimation by leveraging auxiliary attributes within the framework of simple random sampling. The proposed class encompasses a diverse range of estimat
Externí odkaz:
https://doaj.org/article/dd99c7131b9a4cf8ab082aa323841504
Publikováno v:
Heliyon, Vol 10, Iss 24, Pp e40878- (2024)
Improving efficiency has long been a focal challenge in sampling literature. However, simultaneously enhancing estimator efficacy and optimizing survey costs is a practical necessity across various fields such as medicine, agriculture, and transporta
Externí odkaz:
https://doaj.org/article/1e1506a522234eb285ba66e2c49b6d81
Improvement in variance estimation using transformed auxiliary variable under simple random sampling
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This paper offers a novel approach to formulate efficient ratio estimator of the population variance using a transformed auxiliary variable. The impact of transformation on auxiliary information has also been discussed. It is observed that i
Externí odkaz:
https://doaj.org/article/845fdd165f0440869f38b4816ad07afa
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37232- (2024)
In the present work, we have proposed a novel general class of estimators for the estimation of population distribution function in two distinct situations of non-response. The estimation of distribution function (DF) may play an important role in en
Externí odkaz:
https://doaj.org/article/236174c2bb254250bb40b4d1495d7c82
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37234- (2024)
In the contemporary era of information technology, copious amounts of data are ubiquitous, generated across various sectors on a daily basis. Analyzing every unit of data is impractical due to constraints such as limited resources in terms of time, l
Externí odkaz:
https://doaj.org/article/c2c4bcd32ee045f29857a75fa1c0fe0e
Autor:
Abdullah Ali H. Ahmadini, Faizan Danish, Rafia Jan, Aafaq A. Rather, Yashpal Singh Raghav, Irfan Ali
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31693- (2024)
This study focuses on standardizing sampling techniques and comparing various methods of sample allocation to effectively estimate apple area and production in the Himalayan region of India. We investigate different stratification tools,in formulatin
Externí odkaz:
https://doaj.org/article/7d3bdc5176b24555965a64536410cec9