Results 71 to 80 of about 768,731 (196)
Summary Log-linear models are extensively used to analyse categorical and “stimulus-response” data. This paper gives an iterative procedure for obtaining maximum likelihood estimates of cell frequencies and of the parameters of a log-linear model in a multinomial experiment.
openaire +2 more sources
In this paper, we apply the hierarchical modeling technique and study some numerical linear algebra problems arising from the Brownian dynamics simulations of biomolecular systems where molecules are modeled as ensembles of rigid bodies.
Fang, Fuhui +4 more
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Amyotrophic Lateral Sclerosis as a Multistep Process in the United States: A Population‐Based Study
Background Amyotrophic lateral sclerosis (ALS) is a fatal, progressive neurodegenerative disease that typically results in death within 3–5 years from symptom onset.
Jasmine Berry +7 more
doaj +1 more source
Sparse Linear Identifiable Multivariate Modeling [PDF]
In this paper we consider sparse and identifiable linear latent variable (factor) and linear Bayesian network models for parsimonious analysis of multivariate data.
Aapo Hyvärinen +4 more
core +1 more source
Generalized AMMI Models for Assessing The Endurance of Soybean to Leaf Pest
AMMI(Additive Main Effect Multiplicative Interaction)model for interactions in two-way table provide the major mean for studying stability and adaptability through genotype × environment interaction (GEI), which modeled by full interaction model ...
Alfian Futuhul Hadi +2 more
doaj
Penetration through the blood-brain barrier (BBB) is desirable in the case of potential pharmaceuticals acting on the central nervous system (CNS), but is undesirable in the case of drug candidates acting on the peripheral nervous system because it may ...
Małgorzata Janicka +2 more
doaj +1 more source
A study was conducted to determine the effect of dielectric barrier discharge non-thermal plasma (DBD-NTP) on Salmonella typhimurium and Staphylococcus aureus populations on solid surfaces and in liquid suspensions.
Mingming Huang +5 more
doaj +1 more source
Modeling count data from sexual behavioral outcomes involves many challenges, especially when the data exhibit a preponderance of zeros and overdispersion. In particular, the popular Poisson log-linear model is not appropriate for modeling such outcomes.
Yinglin Xia +5 more
doaj +1 more source
Robust learning for ridge-penalized quasi-GLMs under non-identical distributions
In recent years, robust estimation of model parameters has attracted considerable attention in statistics and machine learning, particularly in the context of modeling data with outliers and related inverse problems.
Huiming Zhang +4 more
doaj +1 more source
Alcohol consumption and liver cirrhosis mortality: New evidence from a panel data analysis for sixteen European countries [PDF]
Empirical evidence gives strong support to a close association between liver cirrhosis mortality and the intake of alcohol and most often a log-linear relationship is assumed in the econometric modeling.
Bentzen, Jan, Smith, Valdemar
core

