Results 41 to 50 of about 25,265 (258)
ABSTRACT The paper provides a revised knowledge–attitude–behaviour (KAB) framework to explain sustainable consumption. Drawing on the dual‐process perspective, the study investigates how intuitive and rational cues shape the translation of objective product knowledge into sustainable attitudes and consumption.
Alberto Massacci +3 more
wiley +1 more source
IntroductionSpecies distribution in alpine areas is constrained by multiple abiotic and biotic stressors. This leads to discrepant assembly patterns between different locations and study objects as opposite niche-based processes—limiting similarity and ...
Wen-Yu Song +9 more
doaj +1 more source
Fecundity data Poisson overdispersion tests.
Results of Poisson overdispersion tests [44] for three measures of hoary marmot fecundity, based on data from 10 hoary marmot social groups in the Ruby Range, Yukon Territory, 1999–2004 and 2007–2009.
Vijay P. Patil (701789) +2 more
core +1 more source
Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]
Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur.
Min, Aleksey, Czado, Claudia
core +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
Overdispersion Tests in Count-Data Analysis
Count data are commonly assumed to have a Poisson distribution, especially when there is no diagnostic procedure for checking this assumption. However, count data rarely fit the restrictive assumptions of the Poisson distribution.
Jaume Vives +3 more
core +1 more source
ABSTRACT This study analyzes the evolution of Sustainable Development Goal (SDG) disclosure among IBEX 35 companies between 2018 and 2023, combining natural language processing for disclosure measurement with negative binomial generalized linear mixed models incorporating financial and governance controls.
Francisco Aguado‐Correa +5 more
wiley +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
Despite having only about 670 species worldwide, conifers are one of the ecologically and economically most important plant groups. They have a rich fossil record and previous studies have shown that their current diversity is the result of past radiations, extinction, and dispersal events, restricting many genera to either the Northern or Southern ...
Hong Qian, Michael Kessler, Shenhua Qian
wiley +1 more source

