Results 11 to 20 of about 660,441 (286)
COVID-19 vaccine hesitancy in Spain and associated factors
Frontiers in Public Health, 2023 IntroductionThe present study explores the reasons of those who have not been vaccinated in the later stage of the vaccine rollout in Spain and its associated determinants.MethodsCluster and logistic regression analyses were used to assess differences in
Maria Falcon +9 more
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PLoS ONE, 2021 Sampling rare and clustered populations is challenging because of the effort required to find rare units. Heuristically, a practitioner would prefer to discontinue sampling in areas where rare units of interest are apparently extremely sparse or absent ...
Mohammad Salehi, David R Smith
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Family firms types based on beliefs
European Research on Management and Business Economics, 2023 The purpose of this study was to find an effective way of identifying homogeneous family firm groups, based on the prevailing beliefs of the owning family on ownership, management and intergenerational transmission.
Manzano-García Guadalupe +3 more
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Two-stage adaptive cluster sampling
Statistical Methods & Applications, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Naddeo, Stefania, Pisani, Caterina
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Statistical Methods in Medical Research, 2020 To estimate the mean of a quantitative variable in a hierarchical population, it is logistically convenient to sample in two stages (two-stage sampling), i.e. selecting first clusters, and then individuals from the sampled clusters. Allowing cluster size
F. Innocenti +3 more
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Statistical inference and power analysis for direct and spillover effects in two‐stage randomized experiments [PDF]
Biometrics, 2020 Two‐stage randomized experiments become an increasingly popular experimental design for causal inference when the outcome of one unit may be affected by the treatment assignments of other units in the same cluster.
Zhichao Jiang, K. Imai, A. Malani
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Effects of Cluster Sizes on Variance Components in Two-Stage Sampling [PDF]
Journal of Official Statistics, 2015 Abstract Determining sample sizes in multistage samples requires variance components for each stage of selection. The relative sizes of the variance components in a cluster sample are dramatically affected by how much the clusters vary in size, by the type of sample design, and by the form of estimator used.
Valliant, Richard +2 more
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Adaptive Density Peak Clustering Algorithm Based on Shared Nearest Neighbor [PDF]
Jisuanji kexueDensity peak clustering algorithm(DPC) is a simple and efficient unsupervised clustering algorithm.Although the algorithm can automatically discover cluster centers and realize efficient clustering of arbitrary shape data,it still has some defects.Aiming
WANG Xingeng, DU Tao, ZHOU Jin, CHEN Di, WU Yunzheng
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The Effectiveness of Cyber-Psychology Cognitive Behavioral Training in Reducing Perfectionism and Anxiety in the Student Elite Community [PDF]
پژوهشهای کاربردی روانشناختی, 2021 The purpose of this study was to investigate the effectiveness of cognitive behavioral training on perfectionism and anxiety symptoms on the student elite community using cyber-psychology.
Mahnaz Joukar KamalAbadi +2 more
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Journal of Physics: Conference Series, 2017 Non-response is a regular occurrence in sample surveys. Developing estimators when non-response exists may result in large biases during estimation of population parameters.
Nelson Kiprono Bii +2 more
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