Results 41 to 50 of about 120 (106)
Using historical oological collections spanning 1888–1973, we quantified inter‐ and intraspecific variation in egg morphology and clutch size in four shrike species. Among species, egg morphology and clutch size followed a broad size–number trade‐off, with the great grey shrike laying the largest eggs but the smallest clutches, whereas temporal change ...
Paweł Pstrokoński +10 more
wiley +1 more source
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
wiley +1 more source
On arbitrarily underdispersed Conway-Maxwell-Poisson distributions
We show that the Conway--Maxwell--Poisson distribution can be arbitrarily underdispersed when parametrized via its mean. More precisely, if the mean $μ$ is an integer then the limiting distribution is a unit probability mass at $μ$. If the mean $μ$ is not an integer then the limiting distribution is a shifted Bernoulli on the two values $\floorμ$ and $\
openaire +2 more sources
Liu Estimation Method in the Zero-Inflated Conway Maxwell Poisson Regression Model
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
Geometric overdispersion facilitates the integration of ecological data
Abstract Statistical data integration facilitates inference based on the variety of data prevalent in ecology. In particular, integrated distribution models (IDMs) have been proposed for inferring spatial patterns in abundance using combinations of noisy count, presence–absence and presence–only data.
Justin J. Van Ee +4 more
wiley +1 more source
Extended Conway-Maxwell-Poisson distribution and its properties and applications [PDF]
A new three parameter natural extension of the Conway-Maxwell-Poisson (COM-Poisson) distribution is proposed. This distribution includes the recently proposed COM-Poisson type negative binomial (COM-NB) distribution [Chakraborty, S. and Ong, S. H. (2014): A COM-type Generalization of the Negative Binomial Distribution, Accepted in Communications in ...
Chakraborty, Subrata, Imoto, Tomoaki
openaire +3 more sources
Beyond Habitat: How Anuran Skin Texture Shapes Plant Dispersal in Neotropical Wetlands
ABSTRACT Dispersal is a key process structuring wetland plant communities, yet epizoochory by amphibians remains a little‐known mechanism of passive plant dispersal. This study evaluated the potential role of Neotropical anurans as vectors of plant propagules through external adhesion in coastal wetlands.
Andressa Adolfo +6 more
wiley +1 more source
This study presents a novel estimator that combines the Kibria–Lukman and ridge estimators to address the challenges of multicollinearity in Conway–Maxwell–Poisson (COMP) regression models.
Nasser A. Alreshidi +4 more
doaj +1 more source
Reproductive consequences of mate retention and divorce in a short‐lived migratory passerine
In socially monogamous birds, pair‐bond duration varies across species, from single‐breeding associations to long‐lasting, multi‐year bonds. Studies of pair retention and divorce have focused on long‐lived and sedentary species rather than short‐lived and migratory species.
Daniel R. Rodríguez‐Solís +5 more
wiley +1 more source
On Exponential‐Family INGARCH Models
ABSTRACT A range of integer‐valued generalised autoregressive conditional heteroscedastic (INGARCH) models have been proposed in the literature, including those based on conditional Poisson, negative binomial and Conway‐Maxwell‐Poisson distributions. This note considers a larger class of exponential‐family INGARCH models, showing that maximum empirical
Alan Huang +3 more
wiley +1 more source

