Results 91 to 100 of about 1,308 (195)
Data from: Community assembly of the ferns of Florida
, 2018 Premise of the study: Many ecological and evolutionary processes shape the assembly of organisms into local communities from a regional pool of species.
Burleigh, J. Gordon +6 more
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An Inhomogeneous Weibull–Hawkes Process to Model Underdispersed Acoustic Cues
Journal of Agricultural, Biological and Environmental StatisticsAbstract A Hawkes point process describes self-exciting behaviour where event arrivals are triggered by historic events. These models are increasingly becoming a popular choice in analysing event-type data. Like all other inhomogeneous Poisson point processes, the waiting time between events in a Hawkes process is derived from an exponential ...
Alec B. M. Van Helsdingen +2 more
openaire +4 more sources
Journal of MathematicsThis paper investigates the use of shrinkage estimators in the generalized Poisson hurdle (GPH) model for count data analysis. The GPH model effectively handles data with both excess zeros and over- or underdispersion.
Hayder Hasan Rahmah Al-Gharrawi +2 more
doaj +1 more source
Modeling Latent Underdispersion with Discrete Order Statistics
The Poisson distribution is the default choice of likelihood for probabilistic models of count data. However, due to the equidispersion contraint of the Poisson, such models may have predictive uncertainty that is artificially inflated. While overdispersion has been extensively studied, conditional underdispersion -- where latent structure renders data
Lederman, Jimmy, Schein, Aaron
openaire +2 more sources
Extended negative binomial hurdle models
, 2018 Poisson models are widely used for statistical inference on count data. However, zero-inflation or zero-deflation with either overdispersion or underdispersion could occur.
Youngjo Lee, Maengseok Noh
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Spatial modeling of data with excessive zeros applied to reindeer pellet‐group counts
Ecology and Evolution, 2016 We analyze a real data set pertaining to reindeer fecal pellet‐group counts obtained from a survey conducted in a forest area in northern Sweden. In the data set, over 70% of counts are zeros, and there is high spatial correlation.
Youngjo Lee +4 more
doaj +1 more source
Liu Estimation Method in the Zero-Inflated Conway Maxwell Poisson Regression Model
Journal of Statistical Theory and Applications (JSTA)The Zero-Inflated Conway-Maxwell Poisson Regression Model (ZICPRM) is developed specifically for overdispersed, underdispersed, and excessive zeros in the count data. The ZICMPRM is estimated by the maximum likelihood estimator (MLE).
Muhammad Amin +2 more
doaj +1 more source
Bayesian Inference for Zero-Modified Power Series Regression Models
MathematicsCount data often exhibit discrepancies in the frequencies of zeros, which commonly occur across various application domains. These data may include excess zeros (zero inflation) or, less frequently, a scarcity of zeros (zero deflation).
Katiane S. Conceição +3 more
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Quantifying the analysis uncertainty for nowcasting application [PDF]
Geoscientific Model DevelopmentThis study proposes a method to quantify uncertainty represented by errors in very-high-resolution near-surface analysis, specifically for weather nowcasting applications.
Y. Zhu +5 more
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Trends, Skill, and Sources of Skill in Initialized Climate Forecasts of Global Mean Temperature
Geophysical Research LettersWe evaluate the skill and sources of skill in initialized seasonal climate forecasts of monthly global mean temperature from the North American Multi‐Model Ensemble (NMME) during the period 1991–2024.
Michael K. Tippett, Emily J. Becker
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