Results 71 to 80 of about 2,119,441 (264)

Total ozone time series analysis: a neural network model approach [PDF]

Nonlinear Processes in Geophysics, 2004
This work is focused on the application of neural network based models to the analysis of total ozone (TO) time series. Processes that affect total ozone are extremely non linear, especially at the considered European mid-latitudes.
B. M. Monge Sanz
doaj  

Phi-divergence statistics for the likelihood ratio order: an approach based on log-linear models

, 2014
When some treatments are ordered according to the categories of an ordinal categorical variable (e.g., extent of side effects) in a monotone order, one might be interested in knowing wether the treatments are equally effective or not.
Martín, Nirian, Mata, Raquel, Pardo, Leandro   +2 more
core   +1 more source

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

Location–scale models in ecology and evolution: Heteroscedasticity in continuous, count and proportion data

Methods in Ecology and Evolution
Biological data often violate the assumption of constant variance, yet such heteroscedasticity can reflect meaningful biological processes such as plasticity, canalization or stress responses. Despite this, most models treat variance as statistical noise.
Shinichi Nakagawa, Santiago Ortega, Elena Gazzea, Malgorzata Lagisz, Anna Lenz, Erick Lundgren, Ayumi Mizuno   +6 more
doaj   +1 more source

On Some Test Statistics for Coefficients in the Ridge, Liu and Kibria–Lukman Linear Regression Models: A Simulation Study

Data Science in Science
Ridge, Liu, and Kibria–Lukman regression methods that have been proposed to solve the multicollinearity problem for both linear and generalized linear regression models (Kibria and Lukman, Shewa and Ugwuowo). This paper considers several different ridge,
Sergio Perez Melo, Sultana Mubarika Rahman Chowhdury, Zoran Bursac, B. M. Golam Kibria   +3 more
doaj   +1 more source

A conjugate prior for discrete hierarchical log-linear models

, 2009
In Bayesian analysis of multi-way contingency tables, the selection of a prior distribution for either the log-linear parameters or the cell probabilities parameters is a major challenge. In this paper, we define a flexible family of conjugate priors for
Dobra, Adrian, Liu, Jinnan, Massam, Hélène   +2 more
core   +4 more sources

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Model‐based ordination for phenological studies: From controlling sampling bias to inferring temporal associations

Methods in Ecology and Evolution
Willig et al. (Methods in Ecology and Evolution, 15, 868–885, 2024) cautioned that unequal sampling effort and pseudoreplication can bias the characterisation of species phenology using circular statistics.
Hao Ran Lai
doaj   +1 more source

High-Dimensional Inference: Confidence Intervals, $p$-Values and R-Software hdi

, 2015
We present a (selective) review of recent frequentist high-dimensional inference methods for constructing $p$-values and confidence intervals in linear and generalized linear models.
Bühlmann, Peter, Dezeure, Ruben, Meier, Lukas, Meinshausen, Nicolai   +3 more
core   +1 more source

An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots

FEBS Letters, EarlyView.
This study identifies a gene encoding a transmembrane protein, MIC, which contributes to the reduction of shoot Fe content observed in plants under elevated CO2. MIC is a putative Fe transporter localized to the Golgi and endosomal compartments. Its post‐translational regulation in roots may represent a potential target for improving plant nutrition ...
Timothy Mozzanino, Meijie Li, Cécile Fizames, Mattia Adamo, Laurence Lejay, Christian Dubos, Matthieu Platre, Antoine Martin   +7 more
wiley   +1 more source