In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...
ABSTRACT: This study explores a comprehensive statistical model for analyzing rental apartment prices per square meter in Munich, Germany. The research investigates key quantitative and qualitative ...
Brazilian arnica; campos rupestres; data transformation; deviance analysis; Generalized Linear Models; relative germination An alternative for most species is to quantify the number of seeds with ...
In RLM, nonlinear RNLM, OLS, GLM quasi-mle we estimate the mean model with an auxiliary variance estimator. Inference only looks at mean parameters using asymptotic orthogonality of mean and variance ...
ABSTRACT: Maize is an important source of calories and protein in human lives in many countries of the world and is the main staple food in Africa, particularly in eastern Africa. In the Sudan, the ...
In the evolving landscape of artificial intelligence, one of the most persistent challenges has been bridging the gap between machines and human-like interaction. Modern AI models excel in text ...
Abstract: In this paper, the Bayesian framework is used for the analysis of functional MRI (fMRI) data. Two algorithms are proposed to deal with the nonstationarity of the noise. The first algorithm ...
Abstract: The general linear model (GLM) is a well established tool for analyzing functional magnetic resonance imaging (fMRI) data. Most fMRI analyses via GLM proceed in a massively univariate ...
O presente estudo avaliou o perfil hormonal e a expressão gênica de receptores de prostaglandina F2α (PGF2α), ocitocina e estrógeno no endométrio de vacas pós-parto tratadas com cloprostenol. Vinte ...
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