Results 21 to 30 of about 26,263 (305)
E-Jurnal Matematika, 2013 Poisson regression can be used to analyze count data, with assuming equidispersion. However, in the case of overdispersion often occur in the count data.
DESAK PUTU PRAMI MEITRIANI +2 more
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Quantifying overdispersion effects in count regression data [PDF]
, 2002 The Poisson regression model is often used as a first model for count data with covariates. Since this model is a GLM with canonical link, regression parameters can be easily fitted using standard software.
Sikora, I., Czado, Claudia
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, 2014 Functions required to run the overdispersion simulation scripts - "Extra-Poisson Noise", "Negative Binomial" and "Zero-Inflated Poisson".
Xavier Harrison (598795)
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Overdispersion Effects on Reliability Test Planning [PDF]
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Pérez-González, Carlos J. +3 more
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Understanding the impact of correlation within pair‐bonds on Cormack–Jolly–Seber models
Ecology and Evolution, 2021 The Cormack–Jolly–Seber (CJS) model and its extensions have been widely applied to the study of animal survival rates in open populations. The model assumes that individuals within the population of interest have independent fates. It is, however, highly
Alexandru M. Draghici +2 more
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Overdispersion at the Binomial and Multinomial Distribution [PDF]
, 2011 Overdispersion is a widely discussed phenomenon in case of binomial and Poisson distributed data. We analysed multinomial data with varying multinomial parameters as a part of attribute gauge study.
Láng, Zsolt +2 more
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The new Poisson mixed weighted Lindley distribution with applications to insurance claims data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 Mixed Poisson distributions have been applied for overdispersed count data analysis. In this paper, an alternative mixed Poisson distribution is proposed.
Yupapin Atikankul +2 more
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A quasi-likelihood approach for ordered categorical data with overdispersion
, 1996 Quasi-likelihood (QL) methods are often used to account for overdispersion in categorical data. This paper proposes a new way of constructing a QL function that stems from the conditional mean-variance relationship.
Wang, Y-G.
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Advanced Science, EarlyView.Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang +6 more
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Peer Community JournalSpatially explicit capture–recapture models are used widely to estimate the density of animal populations. The population is represented by an inhomogeneous Poisson point process, where each point is the activity centre of an individual and density ...
Efford, Murray G., Fletcher, David
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