Results 41 to 50 of about 26,597,943 (299)
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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Modelling count data via copulas [PDF]
Statistics, 2020 33 ...
Safari-Katesari, Hadi +2 more
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A Hierarchical Framework for Correcting Under-Reporting in Count Data [PDF]
Journal of the American Statistical Association, 2018 Tuberculosis poses a global health risk and Brazil is among the top 20 countries by absolute mortality. However, this epidemiological burden is masked by under-reporting, which impairs planning for effective intervention.
O. Stoner +2 more
semanticscholar +1 more source
Bootstrap Confidence Intervals for the Parameter of the Poisson-Sujatha Distribution and Their Applications to Agriculture [PDF]
Journal of Sciences, Islamic Republic of Iran, 2023 In a number of real-world situations, one encounters count data with over-dispersion such that the typical Poisson distribution does not suit the data.
Wararit Panichkitkosolkul, ch Ponkaew
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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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, 2021 Bird count data associated with the article "Acoustic monitoring shows invasive beavers Castor canadensis increase patch-level avian diversity in Tierra del Fuego" published in Journal of Applied Ecology in ...
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Regression Models for Count Data in R
, 2008 The classical Poisson, geometric and negative binomial regression models for count data belong to the family of generalized linear models and are available at the core of the statistics toolbox in the R system for statistical computing.
A. Zeileis +2 more
semanticscholar +1 more source
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
doaj
POISSON REGRESSION MODELLING OF AUTOMOBILE INSURANCE USING R
Barekeng, 2022 Automobile insurance benefits are protecting the vehicle and minimizing customer losses. Insurance companies must provide funds to pay customer claims if a claim occurs. Insurance claims can be modelled by Poisson regression.
Sandy Vantika +2 more
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SPARSim single cell: a count data simulator for scRNA-seq data
Bioinform., 2019 MOTIVATION Single cell RNA-seq (scRNA-seq) count data shows many differences compared to bulk RNA-seq count data, making the application of many RNA-seq preprocessing/analysis methods not straightforward or even inappropriate.For this reason, the ...
Giacomo Baruzzo, I. Patuzzi, B. Camillo
semanticscholar +1 more source