Results 111 to 120 of about 22,911 (304)

Overdispersion evaluation for GLMM with Poisson distribution.

Overdispersion evaluation for GLMM with Poisson distribution.
Hugo Mendoza (11264458), Andrés M. López-Pérez (7542401), André V. Rubio (4594702), Paulina A. Pontifes (9923734), Gerardo Suzán (372971), Marisa Mazari-Hiriart (91917), Julio J. Barrón-Rodríguez (18010800), Rodolfo Dirzo (144154)   +7 more
core   +1 more source

A Comparison of the Robust Zero-Inflated and Hurdle Models with an Application to Maternal Mortality

Mathematical and Computational Applications
This study evaluates the performance of count regression models in the presence of zero inflation, outliers, and overdispersion using both simulated and real-world maternal mortality dataset.
Phelo Pitsha, Raymond T. Chiruka, Chioneso S. Marange   +2 more
doaj   +1 more source

Wild meat consumption in changing rural landscapes of Indonesian Borneo

People and Nature, EarlyView.
Abstract Wild meat can play a crucial role in the food system of rural communities residing near tropical forests. Yet, socio‐ecological changes across tropical landscapes are impacting the patterns and sustainability of meat consumption. To understand the prevalence, frequency and drivers of wild meat, domestic meat and fish consumption in this ...
Katie L. Spencer, Daniel J. Ingram, Namrata B. Anirudh, Ardiantiono, Susan M. Cheyne, Leejiah J. Dorward, Abdul Kadir, Michaela G. Y. Lo, Courtney L. Morgans, Jatna Supriatna, Nurul L. Winarni, Freya A. V. St. John, Matthew J. Struebig   +12 more
wiley   +1 more source

Modeling Count Distributions via Skewness–Kurtosis Orthogonal Expansions

Mathematics
We develop a semi-parametric framework for representing discrete probability mass functions through orthogonal polynomial representations. Classical count models, such as the Poisson and negative binomial distributions, impose restrictive structural ...
Won-Woo Lee, Ji-Hun Lee, Jong-Seung Lee, Hyung-Tae Ha   +3 more
doaj   +1 more source

Made in the shade: Leaf responses of native wildflowers to single‐axis photovoltaic solar energy

PLANTS, PEOPLE, PLANET, EarlyView.
As solar energy expands globally, balancing renewable power generation with biodiversity and ecosystem health has become an urgent challenge. This study investigated how native wildflowers respond at leaf level to the unique microclimates created by rotating solar panels in California's Central Valley.
Yudi Li, Troy Magney, Alona Armstrong, Rebecca R. Hernandez   +3 more
wiley   +1 more source

Overdispersion at the Binomial and Multinomial Distribution

, 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, Vágó, Emese, Kemény, Sándor   +2 more
core  

Estimating Overdispersion in Sparse Multinomial Data [PDF]

, 2018
The phenomenon of overdispersion arises when the data are more variable than we expect from the fitted model. This issue often arises when fitting a Poisson or a binomial model. When overdispersion is present, ignoring it may lead to misleading conclusions,
Afroz, Farzana
core   +1 more source

Harvesting of two alpine Artemisia: Effects of an amateur practice on wild plant dynamics

PLANTS, PEOPLE, PLANET, EarlyView.
Wild plants are consumed all over the world, and knowledge of the effects of harvesting is necessary to ensure the sustainability of this activity. Our 3‐year study of two closely related alpine Artemisia species in the Southern Alps revealed a positive impact of harvesting at the plant scale and on the short term.
Ninon Fontaine, Perrine Gauthier, Sophie Caillon, John D. Thompson, Isabelle Boulangeat   +4 more
wiley   +1 more source

Endemicity of chytridiomycosis features pathogen overdispersion [PDF]

, 2016
1. Pathogens can be critical drivers of the abundance and distribution of wild animal populations. The presence of an overdispersed pathogen load distribution between hosts (where few hosts harbour heavy parasite burdens and light infections are common ...
Grogan, Laura F., Laura F. Grogan, Andrea D. Phillott, Scott D. Cashins, Berger, Lee, Cashins, Scott D, Grogan, Laura, Skerratt, LF, Scheele, Benjamin C., Bell, SC, Puschendorf, R, Bell, Sara C, Puschendorf, Robert, Grogan, Laura F, Phillott, Andrea D., Robert Puschendorf, Bell, Sara C., Skerratt, Lee F., Benjamin C. Scheele, Phillott, Andrea D, Skerratt, Lee F, Scheele, Benjamin, Phillott, AD, Scheele, BC, Cashins, SD, Lee Berger, Cashins, Scott D., Bell, Sara, Grogan, LF, Berger, L, Lee F. Skerratt, Scheele, Benjamin C, Sara C. Bell   +32 more
core   +1 more source

Modelling count data with overdispersion and spatial effects

, 2008
In this paper we consider regression models for count data allowing for overdispersion in a Bayesian framework. We account for unobserved heterogeneity in the data in two ways. On the one hand, we consider more flexible models than a common Poisson model
Claudia Czado, Susanne Gschlößl
core   +1 more source