Results 21 to 30 of about 25,265 (258)
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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Non-constant residuals, also known as heteroskedastic errors, are a common challenge in statistical modelling. One common method for coping with heteroskedastic errors for non-negative data is through the use of a Gamma likelihood function, often with ...
Semenov, M. A. +4 more
core
Empirically observed overdispersion of TE load.
Empirically observed overdispersion of TE load.
Joshua R. Puzey (7877342) +2 more
core +1 more source
A quasi-likelihood approach for ordered categorical data with overdispersion
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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Understanding the impact of correlation within pair‐bonds on Cormack–Jolly–Seber models
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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Functions required to run the overdispersion simulation scripts - "Extra-Poisson Noise", "Negative Binomial" and "Zero-Inflated Poisson".
Xavier Harrison (598795)
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The new Poisson mixed weighted Lindley distribution with applications to insurance claims data [PDF]
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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Overdispersion Effects on Reliability Test Planning [PDF]
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Pérez-González, Carlos J. +3 more
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Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Spatially 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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