Results 31 to 40 of about 1,438,925 (267)
Optimally designing drone‐based surveys for wildlife abundance estimation with N‐mixture models
Methods in Ecology and Evolution, 2023 Hierarchical N‐mixture models have been suggested for abundance estimation from spatiotemporally replicated drone‐based count surveys, since they allow modeling abundance of unmarked individuals while accounting for detection errors. However, it is still
Ismael V. Brack +3 more
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Constrained Private Mechanisms for Count Data [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2018 Concern about how to aggregate sensitive user data without compromising individual privacy is a major barrier to greater availability of data. Differential privacy has emerged as an accepted model to release sensitive information while giving a statistical guarantee for privacy.
Graham Cormode +2 more
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A Review of Spatiotemporal Models for Count Data in R Packages. A Case Study of COVID-19 Data
Mathematics, 2021 Spatiotemporal models for count data are required in a wide range of scientific fields, and they have become particularly crucial today because of their ability to analyze COVID-19-related data.
Maria Victoria Ibañez +2 more
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Model‐based biclustering for overdispersed count data with application in microbial ecology
Methods in Ecology and Evolution, 2021 Different studies have shown that microbial communities living in animals (humans included), in or around plants have a significant impact on health and disease of their host and on various services, such as adaptation under stressing environment.
Julie Aubert +2 more
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232 Opening up translational data impact through the Data Citation Corpus
Journal of Clinical and Translational ScienceObjectives/Goals: Evaluate use and reuse of data in biomedical fields to explore how data advances translational benefit for science and patients. Methods/Study Population: In this study, we use the metadata for 5 million data citations in the Data ...
Kristi Holmes, Iratxe Puebla
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THE CURSE OF COUNTING AND THE DESTINY OF DATA
South African Journal of Industrial Engineering, 2018 Writing numbers for counting and record-keeping predates the art of writing by a considerable margin. Never in the history of humankind has the urge to count and to measure everything been so prevalent as today. Numbers were traditionally used to count, measure, and label, but simple numbers have transformed into ‘DATA’, which has become an important ...
Kruger, P.S. (Paul Stephanus), 1944- +1 more
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Regression Models for Multivariate Count Data [PDF]
Journal of Computational and Graphical Statistics, 2017 Data with multivariate count responses frequently occur in modern applications. The commonly used multinomial-logit model is limiting due to its restrictive mean-variance structure. For instance, analyzing count data from the recent RNA-seq technology by the multinomial-logit model leads to serious errors in hypothesis testing.
Zhang, Yiwen +3 more
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Linear mean-variance negative binomial models for analysis of orange tissue-culture data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2004 Negative binomial maximum likelihood regression models are commonly used to analyze overdispersed Poisson data. There are various forms of the negative binomial model with different mean-variance relationships, however, the most generally used are those ...
Naratip Jansakul, John P. Hinde
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Range counting coresets for uncertain data [PDF]
Proceedings of the 29th annual symposium on Symposuim on computational geometry - SoCG '13, 2013 17 pages, 3 figures, 29th Annual ACM Symposium on Computational Geometry (SoCG)- June ...
Amirali Abdullah +2 more
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Frontiers in Psychology, 2019 The present study aimed to: (a) validate the factor structures of three scales assessing driving behavior, attitudes toward traffic safety (ATTS) and self-regulation in driving, in a sample of Italian older adults, through confirmatory factor analyses ...
Giuseppina Spano +7 more
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