Results 51 to 60 of about 26,443,777 (315)
The Poisson-generalised Lindley distribution and its applications [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2016 The Poisson distribution plays important role in count data analysis. However, the Poisson distribution cannot model some data with over-dispersion because of its property, equi-dispersion.
Weerinrada Wongrin, Winai Bodhisuwan
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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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count-data-brain-annotated.rds
, 2021 tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
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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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Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data
Frontiers in Microbiology, 2018 The metagenomics sequencing data provide valuable resources for investigating the associations between the microbiome and host environmental/clinical factors and the dynamic changes of microbial abundance over time.
Xinyan Zhang +6 more
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Empirical methods in business location research
Regional Studies, Regional Science, 2021 A frequent theme in regional science is exploring the determinants of business establishment locations. We briefly review the theoretical perspectives motivating several frameworks underpinning locational determinant analyses.
Craig Wesley Carpenter +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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, 2021 tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core +1 more source
The zero inflated negative binomial – Crack distribution: some properties and parameter estimation [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2015 The zero inflated negative binomial-Crack (ZINB-CR) distribution is a mixture of Bernoulli distribution and negative binomial-Crack (NB-CR) distribution, which is an alternative distribution for the excessive zero counts and overdispersion.
Pornpop Saengthong +2 more
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Revstat Statistical Journal, 2020 In most of the longitudinal studies, involving count responses, excess zeros are common in practice. Usually, the current response measurement in a longitudinal sequence is a function of previous outcomes.
Taban Baghfalaki , Mojtaba Ganjali
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