Results 31 to 40 of about 259,705 (143)

Synthetic imputation methods for domain mean under simple random sampling

Franklin Open
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.
Shashi Bhushan, Anoop Kumar, Rohini Pokhrel   +2 more
doaj   +1 more source

Is Simple Random Sampling Better Than Quota Sampling? An Analysis Based on the Sampling Methods of Three Surveys in South Korea

Asian Journal for Public Opinion Research, 2016
This paper considers whether random sampling always produces more accurate survey results in the case of South Korea. We compare information from the 2010 census to the demographic variables of three public opinion surveys from South Korea: Gallup Korea ...
Sung Kyum Cho, Deok-Hyun Jang, Sarah Prusoff LoCascio   +2 more
doaj   +2 more sources

Efficiency of adaptive cluster sampling and traditional sampling for coastal mangrove in Hainan of China

Journal of Forest Science, 2012
Based on two species of Coastal Mangrove in Hainan of China, Sonneratia Apetala Buch-Ham and Sonneratia caseoli, we estimated the density of the two species to evaluate the efficiency of adaptive cluster sampling (ACS), simple random sampling (SRS) and ...
Y. Lei, J. Shi, T. Zhao
doaj   +1 more source

Novel efficient estimators of finite population mean in simple random sampling

Scientific African
This study presents a methodological advancement in survey sampling, focusing on the development of efficient estimators for the finite population mean under Simple Random Sampling without Replacement (SRSWOR).
Khazan Sher, Muhammad Iqbal, Hameed Ali, Soofia Iftikhar, Maggie Aphane, Ahmed Audu   +5 more
doaj   +1 more source

Modified Systematic Sampling with Multiple Random Starts

Revstat Statistical Journal, 2018
Systematic sampling has been facing two problems since its beginning; situational complications, e.g., population size N not being a multiple of the sample size n, and unavailability of unbiased estimators of population variance for all possible ...
Sat Gupta , Zaheen Khan , Javid Shabbir
doaj   +1 more source

The Sample Size Determination Strategy in the Simple Random Sampling Design

Tikrit Journal of Administrative and Economic Sciences
his paper presents an overview for some strategies concerning the sample size determination including simple random sampling technique in the applied field of science.
Hanaw Ahmed Amin
doaj   +1 more source

Cochran's Rule for Simple Random Sampling

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2000
Summary Cochran's rule for the minimum sample size to ensure adequate coverage of nominal 95% confidence intervals is derived by using the Edgeworth expansion for the distribution function of the standardized sample mean. The rule is extended for confidence intervals based on the Studentized sample mean.
Sugden, R. A., Smith, T.M.F., Jones, R. P.   +2 more
openaire   +3 more sources

Toward a principled sampling theory for quasi-orders

Frontiers in Psychology, 2016
Quasi-orders, that is, reflexive and transitive binary relations, have numerous applications. In educational theories, the dependencies of mastery among the problems of a test can be modeled by quasi-orders.
Ali Ünlü, Martin Schrepp
doaj   +1 more source

Enhancing logistic regression classification: insights from simulation and real-world applications through ranked set sampling

Scientific Reports
Machine learning algorithms are widely used for disease prediction, but the choice of sampling method is a factor that affects model performance, particularly in large populations, limitations on the availability of resources, and imbalanced datasets ...
Razieh Yousefi, Benoit Liquet, Mahdi Mahdizadeh, Leili Tapak, Hassan Doosti, Habibollah Esmaily   +5 more
doaj   +1 more source

Imputation of missing data for domain mean estimation using simple random sampling

Kuwait Journal of Science
The estimate of domain mean is a significant issue in sample surveys. However, if the data is missing, it becomes very necessary. In the case of missing data, this paper proposes some direct and synthetic domain mean estimators using simple random ...
Anoop Kumar, Shashi Bhushan, Rohini Pokhrel, Amer I. Al-Omari, Ayed R.A. Alanzi, Shokrya S. Alshqaq   +5 more
doaj   +1 more source