Results 41 to 50 of about 26,263 (305)

Overdispersion has little effect on the balanced or minimum error mapping solutions.

open access: yes, 2023
A) Two example cells, one per column. The left cell’s spiking activity does not include overdispersion, the bottom plot shows the variability in the cell’s firing during passes through the place field (black bars; text above gives the standard deviation ...
Roddy M. Grieves (3639226)
core   +1 more source

Lockdowns exert selection pressure on overdispersion of SARS-CoV-2 variants() [PDF]

open access: yes, 2022
The SARS-CoV-2 ancestral strain has caused pronounced superspreading events, reflecting a disease characterized by overdispersion, where about 10% of infected people cause 80% of infections.
Lone Simonsen   +9 more
core   +1 more source

Intuition or Rationality? A Revised Knowledge‐Attitude‐Behaviour Framework in Sustainable Consumer Behaviour

open access: yesBusiness Strategy and the Environment, EarlyView.
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

The Ridge-Hurdle Negative Binomial Regression Model: A Novel Solution for Zero-Inflated Counts in the Presence of Multicollinearity

open access: yesStats
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

A Semiparametric Approach to Test for the Presence of INAR: Simulations and Empirical Applications

open access: yesMathematics, 2022
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

Business Group Affiliation and Environmental Innovation: The Moderating Role of Board Diversity

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines the relationship between business group (BG) affiliation and corporate environmental innovation, with a particular focus on the moderating role of board diversity. Drawing on resource dependence theory (RDT) and agency theory, we argue that although BGs provide affiliated firms with strategic resources, their governance ...
Yamin Xie   +3 more
wiley   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

open access: yesCanadian Journal of Statistics, EarlyView.
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

When Is Poisson Enough? A Likelihood-Based Comparison of Poisson and Negative Binomial GLMMs for Owl Nestling Call Counts

open access: yesAxioms
Modeling count data using generalized linear mixed models (GLMMs) is a common practice in ecological research. However, datasets such as bird vocalization counts often display overdispersion, where the variance exceeds the mean, violating Poisson ...
Özge Kuran
doaj   +1 more source

Drivers of Postharvest Loss among Citrus Farmers in Eastern Cape Province of South Africa: A Zero-Inflated Poisson (ZIP) Regression Model Analysis

open access: yesAgriculture, 2022
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

Overdispersion Tests in Count-Data Analysis

open access: yes, 2008
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

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