Results 51 to 60 of about 46,328 (287)

CONWAY-MAXWELL POISSON REGRESSION MODELING OF INFANT MORTALITY IN SOUTH SULAWESI

Media Statistika
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, Wahidah Sanusi, Aswi Aswi, Sukarna Sukarna, Serifat Adedamola Folorunso   +4 more
doaj   +1 more source

Climate and seed mass drive intraspecific variation in seed longevity in storage

American Journal of Botany, EarlyView.
Abstract Premise Conservation seed banks are essential for ex situ plant conservation, but stored seeds slowly deteriorate and lose viability. Seed longevity in storage is determined by the initial seed viability and the rate of seed viability loss. The rate of seed viability loss in storage varies between species and possibly between populations or ...
Lea Klepka, Sascha Liepelt, Anna Bucharova   +2 more
wiley   +1 more source

Skeletal pathologies in extant crocodilians as a window into the paleopathology of fossil archosaurs

The Anatomical Record, EarlyView.
Abstract Crocodilians, together with birds, are the only extant relatives to many extinct archosaur groups, making them highly important for interpreting paleopathological conditions in a phylogenetic disease bracketing model. Despite this, comprehensive data on osteopathologies in crocodilians remain scarce.
Alexis Cornille, Kyla Beguesse, Ewan Wolff, Clemens Zinner, Patrick Asbach, François Clarac, Florian Witzmann   +6 more
wiley   +1 more source

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

Stats
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

Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models

, 2007
We express the mean and variance terms in a double exponential regression model as additive functions of the predictors and use Bayesian variable selection to determine which predictors enter the model, and whether they enter linearly or flexibly.
Berger J. O., David J Nott, Davidian M., Hastie T., Remy Cottet, Rigby R., Robert J Kohn, Smyth G., Wild C., Yee T.   +9 more
core   +1 more source

Waders in a sea of debris: a global overview

Biological Reviews, EarlyView.
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, Mónica Expósito‐Granados, Elizabeth Znidersic, Marga L. Rivas   +3 more
wiley   +1 more source

Beta–Binomial and Overdispersion with Exchange of the Sample Size over the Probability Interval [0, 1] with Applications

Passer Journal, 2020
The beta-binomial model that is generated by a simple mixture model has been commonly applied in the health, physical, and social sciences. In clinical and public health, overdispersion occurs due to biological variation between the subjects of interest.
Hanaw Ahmed Amin, Rando Rasul Qadir
doaj   +1 more source

Digital Transformation for Eco‐Innovation: Evidence From Agriculture 4.0 Adoption in Wine Firms

Business Strategy and the Environment, EarlyView.
ABSTRACT Firms face a fundamental strategic dilemma: how to align digital transformation with environmental sustainability while maintaining competitive advantage. Drawing on the eco‐innovation and green business strategy literature, this paper investigates how Agriculture 4.0 technologies act as enablers of sustainability strategies.
Alessandro Muscio, Amir Maghssudipour, Yuntao Wang   +2 more
wiley   +1 more source

Estimation Parameters And Modelling Zero Inflated Negative Binomial

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016
Regression analysis is used to determine relationship between one or several response variable (Y) with one or several predictor variables (X). Regression model between predictor variables and the Poisson distributed response variable is called Poisson ...
Cindy Cahyaning Astuti, Angga Dwi Mulyanto   +1 more
doaj   +1 more source

A goodness‐of‐fit test for regression models with discrete outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang, Christian Genest, Johanna G. Nešlehová   +2 more
wiley   +1 more source