Zobrazeno 1 - 10
of 789
pro vyhledávání: '"stratified random sampling"'
Publikováno v:
International Journal of Social Economics, 2024, Vol. 51, Issue 9, pp. 1151-1166.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSE-04-2023-0246
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In survey statistics, estimating and reducing population variation is crucial. These variations can occur in any sampling design, including stratified random sampling, where stratum weights may increase the variance of estimators. Calibratio
Externí odkaz:
https://doaj.org/article/199fc98970fa4ddf8c70a761f50e0081
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundThe early years of life are critical for gross motor development (GMD). This study utilized decision tree modeling to examine the influences on gross motor development in children under the age of 3 years and to rank the key factors affecti
Externí odkaz:
https://doaj.org/article/0b98bab18271427fae39bbee66247198
Publikováno v:
Revstat Statistical Journal, Vol 22, Iss 3 (2024)
In this paper, Randomized Response technique (RRT) is used to propose some separate and combined variance estimators for a sensitive variable using stratified random sampling. The performances of the proposed estimators are examined using a unifed me
Externí odkaz:
https://doaj.org/article/a1f89c884e37411390b35624f994acbf
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:
Guoyi Zhang, Bruce Swan
Publikováno v:
Statistical Theory and Related Fields, Vol 8, Iss 2, Pp 117-123 (2024)
In the realm of survey data analysis, encountering substantial variance relative to bias is a common occurrence. In this study, we present an innovative strategy to tackle this issue by introducing slightly biased variance estimators. These estimator
Externí odkaz:
https://doaj.org/article/2dcd70085d664bed95499faf0b262f95
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
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31030- (2024)
Recently, several memory-type mean estimators (including ratio, product, and logarithmic) have been developed. These estimators rely on exponentially weighted moving average (EWMA), which incorporate both historical and present sample data. In this a
Externí odkaz:
https://doaj.org/article/2a15f4c396524781a16178ce2f275b02
Autor:
Anna M. Pieri, John L. Harris, Mickey W. Matthews, Shawn W. Hodges, Ashley R. Rodman, Jennifer L. Bouldin, Alan D. Christian
Publikováno v:
Ecologies, Vol 5, Iss 1, Pp 1-24 (2023)
Historically, 23 freshwater mussel species have been documented from the Buffalo National River (BNR), a 246 km, free-flowing river in northern Arkansas. The potential threats to BNR include land use/land cover changes, eutrophication, recreation, ph
Externí odkaz:
https://doaj.org/article/f55716d743784c2e9059f42f5258e208
Autor:
Sohaib Ahmad, PhD, Javid Shabbir, Walid Emam, Erum Zahid, Muhammad Aamir, Mohd Khalid, Malik Muhammad Anas
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28272- (2024)
The main objective of the current study is to suggest an enhanced family of log ratio-exponential type estimators for population distribution function (DF) using auxiliary information under stratified random sampling. Putting different choices in our
Externí odkaz:
https://doaj.org/article/280e738baa5c4ceabfb4e52ef3b6397e