Results 181 to 190 of about 1,170 (203)
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Connections of the Poisson weight function to overdispersion and underdispersion
Journal of Statistical Planning and Inference, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Celestin C Kokonendji
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Overdispersed and underdispersed Poisson generalizations
Journal of Statistical Planning and Inference, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
del Castillo, Joan, Pérez-Casany, Marta
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Pseudo R-squared measures for Poisson regression models with over- or underdispersion
Computational Statistics and Data Analysis, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Harald Heinzl, Martina Mittlböck
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Integer-valued autoregressive models for counts showing underdispersion
Journal of Applied Statistics, 2013The Poisson distribution is a simple and popular model for count-data random variables, but it suffers from the equidispersion requirement, which is often not met in practice. While models for overdispersed counts have been discussed intensively in the literature, the opposite phenomenon, underdispersion, has received only little attention, especially ...
Christian H Weiss
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hyper-Poisson Model for Overdispersed and Underdispersed Count Data
Proceedings of The International Conference on Data Science and Official Statistics, 2023The Poisson model is commonly used for modelling count data. However, it has a limitation, namely the equality between the mean and variance (equidispersion) of the data to be modeled. Unfortunately, overdispersion (variance greater than the mean) and underdispersion (variance smaller than the mean) are more often to be found in real cases.
Venda Damianus Situmorang +2 more
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A Time-Series Model for Underdispersed or Overdispersed Counts
The American Statistician, 2018It is common for time series of unbounded counts (that is, nonnegative integers) to display overdispersion relative to the Poisson.
Iain L. MacDonald, Feroz Bhamani
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A hyper-Poisson regression model for overdispersed and underdispersed count data
Computational Statistics & Data Analysis, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. J. Sáez-Castillo +1 more
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Flexible INAR(1) models for equidispersed, underdispersed or overdispersed counts
Journal of the Korean Statistical Society, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kang, Yao +3 more
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A new thinning-based INAR(1) process for underdispersed or overdispersed counts
Journal of the Korean Statistical Society, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kang, Yao +3 more
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Aridity drives community‐wide shifts towards phytochemical underdispersion
New PhytologistSummary Current theoretical advances integrating eco‐metabolomics into ecological research provide a novel perspective for predicting interactions between plants and their environment. Yet, whether the plant metabolome varies predictably and consistently with functional traits along environmental clines remains largely unknown. We explored shifts in
Hanna Nomoto +4 more
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