Results 31 to 40 of about 20,066 (266)
Waders in a sea of debris: a global overview
ABSTRACT The impact of plastic pollution on ecosystems and marine fauna is well documented, although research into its effects on waders (also known as shorebirds) remains limited. Given that waders are exposed to coastal marine litter, this exposure could be a significant factor in the decline of their populations. This study aims to assess the global
Yada Trapletti‐Lanti +3 more
wiley +1 more source
CONWAY-MAXWELL POISSON REGRESSION MODELING OF INFANT MORTALITY IN SOUTH SULAWESI
Overdispersion is a common problem in count data that can lead to inaccurate parameter estimates in Poisson regression models. Quasi-Poisson and negative binomial regressions are often used to address overdispersion but have limitations, especially with ...
Oktaviana Oktaviana +4 more
doaj +1 more source
A Semiparametric Approach to Test for the Presence of INAR: Simulations and Empirical Applications
The present paper explores the application of bootstrap methods in testing for serial dependence in observed driven Integer-AutoRegressive (models) considering Poisson arrivals (P-INAR).
Lucio Palazzo, Riccardo Ievoli
doaj +1 more source
Orchard netting impacts on biodiversity leading to cascading effects at the ecosystem level
ABSTRACT Agriculture must ensure food production without further compromising the ecosystem functions upon which it depends. Agricultural practices should therefore avoid harming farmland biodiversity, especially of taxa that supply the key ecosystem services (e.g.
Corrado Alessandrini +13 more
wiley +1 more source
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Datasets with many zero outcomes are common in real-world studies and often exhibit overdispersion and strong correlations among predictors, creating challenges for standard count models.
HM Nayem, B. M. Golam Kibria
doaj +1 more source
Reducing postharvest losses (PHLs) in the South African citrus industry is fundamental in ensuring food, income, and nutrition security. However, there is limited knowledge on the extent of postharvest losses, their diversity, and the associated ...
Siphiw’okuhle Nohamba +3 more
doaj +1 more source
ABSTRACT Objective Self‐reported frequency measures of social media use (e.g., “How often do you use social media?”) are convenient, yet their criterion validity against objective behavioral data remains largely untested in eating disorder research. We compared self‐reports of TikTok use with objective data extracted from TikTok datafiles.
Scott Griffiths +7 more
wiley +1 more source
A New First-Order Integer-Valued Autoregressive Model with Bell Innovations
A Poisson distribution is commonly used as the innovation distribution for integer-valued autoregressive models, but its mean is equal to its variance, which limits flexibility, so a flexible, one-parameter, infinitely divisible Bell distribution may be ...
Jie Huang, Fukang Zhu
doaj +1 more source
Understanding how deterministic and stochastic processes influence the shape of microorganism community assembly across different spatial scales is essential for disentangling biodiversity patterns. Mires are nutrient‐poor and heterogeneous wetlands that form isolated habitats supporting highly diverse diatom assemblages, particularly in mountainous ...
Fernanda Gonzalez‐ Saldias +4 more
wiley +1 more source

