Zobrazeno 1 - 10
of 7 011
pro vyhledávání: '"population mean"'
Autor:
Housila P. Singh, Neha Garg
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The existence of measurement errors cannot be avoided in practice. It is a prominent fact that the existence of measurement errors diminishes conventional properties of the estimators. A modified correlated measurement errors model has been
Externí odkaz:
https://doaj.org/article/920b6dcb2b0046dcbfb42762ee25712e
Autor:
Muhammad Ahmed Shehzad, Anam Nisar, Aamna Khan, Walid Emam, Yusra Tashkandy, Haris Khurram, Isra Al-Shbeil
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34627- (2024)
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. Thi
Externí odkaz:
https://doaj.org/article/7ef374f293094ca8bfe05c780bd2bede
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:
Ondřej Vozár, Luboš Marek
Publikováno v:
Statistika: Statistics and Economy Journal, Vol 2023, Iss 4, Pp 492-503 (2023)
Increasing demand in surveys focused on quantitative characteristics (population mean among others) of controversial issues like corruption, tax evasion, drugs consumption of sensitive variables like spending on drugs or illegal sources of income whi
Externí odkaz:
https://doaj.org/article/44d781810fce409b9d3b1a8062e1a705
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 22, Iss 4, Pp 309-338 (2023)
Abstract This paper presents some efficient classes of estimators of population mean on current occasion in the presence of random non-response under a two-phase successive sampling set-up. The suggested classes of estimators are proposed for simple
Externí odkaz:
https://doaj.org/article/cb7c212f37184b3e87fd0b4db7efcc34
Autor:
Nuanpan Lawson
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 45, Iss 2, Pp 165-172 (2023)
The performance of a population mean estimator can be improved by transformation techniques using a subset of the population data. An improved family of estimators for population mean has been proposed under double sampling using a transformed auxi
Externí odkaz:
https://doaj.org/article/9218c6b48f024736b5f783d7eb58ed15
Autor:
Ondřej Vozár
Publikováno v:
Statistika: Statistics and Economy Journal, Vol 103, Iss 1, Pp 113-120 (2023)
Antoch, Mola and Vozár (2022) proposed recently new randomized response technique for population mean or total of a quantitative variable. The aim of the paper is to solve the open problem to derive unbiased variance estimator of these procedures. I
Externí odkaz:
https://doaj.org/article/19293a656b404f21841ff537ea76c6d7
Autor:
Ceren Unal, Cem Kadilar
Publikováno v:
Journal of Taibah University for Science, Vol 16, Iss 1, Pp 111-119 (2022)
Using the information in x, we consider a new estimator that uses an exponential function to estimate the unknown population mean of y in the case of non-responding units. These cases are divided into two categories as Case I and Case II. In Case I,
Externí odkaz:
https://doaj.org/article/9a5585d7dccc42e1a5ffa298b54b959e
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 12813-12828 (2022)
In this paper, two generalized class such as ratio to exponential and the difference type of estimators have been proposed for estimating the finite population mean by utilizing information on higher order moments of an auxiliary variable in the two
Externí odkaz:
https://doaj.org/article/2a1e6935977c465e82600fd1a824777a
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.