Results 11 to 20 of about 415,792 (296)
On efficiency of cluster sampling on sampling on two occasions
Statistica, 2007 In this paper it has been shown that even if the intra-class correlation coefficient among the units in the same cluster is positive, under certain condition, the cluster sampling on two occasions is likely to be more efficient than the simple random ...
Bijoy Kumar Pradhan
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A spatiotemporal analysis of crimes reported in the North Shewa Zone of Amhara region, Ethiopia [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2023 Crime is a societal problem that has an impact on the quality of life and economic prosperity of a society. So, crime data analysis is used to understand more about how and why crime happens, as well as the policy measures to reduce its rate.
Abere Wondimu Kassie +3 more
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CoRR, 2019 The clustering algorithms that view each object data as a single sample drawn from a certain distribution, Gaussian distribution, for example, has been a hot topic for decades. Many clustering algorithms: such as k-means and spectral clustering are proposed based on the single sample assumption.
Xiang Wang, Tie Liu
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Indian Journal of Health Sciences and Biomedical Research KLEU, 2020 Background: India has the largest adolescent population in the world, the majority of whom reside in rural areas. Anemia is one of the top five causes of morbidity among adolescents.
Avita Rose Johnson +2 more
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Remote Sensing, 2018 The German National Forest Inventory consists of a systematic grid of permanent sample plots and provides a reliable evidence-based assessment of the state and the development of Germany’s forests on national and federal state level in a 10 year ...
Andreas Hill +2 more
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Intracluster Homogeneity Selection Problem in a Business Survey
Business Systems Research, 2016 Background: In the cluster sampling approach many parameters have influence on lowering the survey costs and one of the most important is the intracluster homogeneity.
Žmuk Berislav
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Active sampling for constrained clustering
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, 2012 Constrained clustering is a framework for improving clustering performance by using constraints about data pairs. Since performance of constrained clustering depends on the set of constraints used, a method is needed to select good constraints that promote clustering performance.
Masayuki Okabe, Seiji Yamada
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Rural children active trachoma risk factors and their interactions
The Pan African Medical Journal, 2016 INTRODUCTION: trachoma is a serious public health problem in rural Ethiopia. The aim of this investigation was to provide in-depth statistical analysis of the risk factors associated with active trachoma among children of age 1-9 years of Kedida Gamela ...
Essey Kebede Muluneh +2 more
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Human-Wildlife Interactions, 2017 We compared 2 sampling strategies designed to estimate abundance of double-crested cormorants (Phalacrocorax auritus, hereafter cormorants) on aquaculture ponds in western Mississippi.
Aaron T. Pearse +3 more
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Indian Journal of Community Medicine, 2022 Background: Multidrug-resistant tuberculosis (MDR-TB) increases the risk of depression, lowers treatment compliance leading to poor outcomes. Objectives:To (1) document the prevalence of depression among MDR-TB cases registered at tuberculosis units (TUs)
Rashmi Sharma +9 more
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