Results 1 to 10 of about 484,316 (264)
Flexible Log-Linear Birnbaum–Saunders Model
Mathematics, 2021 Rieck and Nedelman (1991) introduced the sinh-normal distribution. This model was built as a transformation of a N(0,1) distribution. In this paper, a generalization based on a flexible skew normal distribution is introduced.
Guillermo Martínez-Flórez +2 more
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An Exponentiated Multivariate Extension for the Birnbaum-Saunders Log-Linear Model
Mathematics, 2022 In this work, a bivariate extension of the univariate exponentiated sinh-normal distribution is proposed. The properties of the new distribution, which is called the bivariate exponentiated sinh-normal distribution, are studied in detail, and the maximum
Guillermo Martínez-Flórez +2 more
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Modeling Categorical Variables by Mutual Information Decomposition
Entropy, 2023 This paper proposed the use of mutual information (MI) decomposition as a novel approach to identifying indispensable variables and their interactions for contingency table analysis.
Jiun-Wei Liou +2 more
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Estimating Poisson pseudo-maximum-likelihood rather than log-linear model of a log-transformed dependent variable [PDF]
RAUSP Management Journal, 2019 Purpose – The purpose of this study is to account for a recent non-mainstream econometric approach using microdata and how it can inform research in business administration.
Victor Motta
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Assessment of health impact of the surface ozone on a population residing at Agadir city (Morocco) using the AirQ+ model [PDF]
E3S Web of Conferences, 2023 Several epidemiological and toxicological studies have shown that exposure to surface ozone increases deaths and illnesses. Deteriorating air quality could lead to health concerns in emerging countries such as Morocco. The aim of the present study was to
Bouchriti Youssef +8 more
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On the correspondence of deviances and maximum-likelihood and interval estimates from log-linear to logistic regression modelling [PDF]
Royal Society Open Science, 2020 Consider a set of categorical variables P where at least one, denoted by Y, is binary. The log-linear model that describes the contingency table counts implies a logistic regression model, with outcome Y.
W. Jing, M. Papathomas
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E-Jurnal Matematika, 2012 The purpose of this study was to determine the effect of the factors age, sex, obesity, family history (heredity), and smoking habits on hypertension status. The research data is secondary data obtained from the medical records of disease in hospitals in
IMAMUDDIN KAMIL +2 more
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Reproductive Health, 2022 Plain language summary Even though studies were carried out on physical, emotional, and sexual violence against women, and prevalence and associated factors, little attention was given to a comprehensive study that assesses the association between ...
Lijalem Melie Tesfaw +1 more
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A Random-Effects Log-Linear Model with Poisson Distributions
Revstat Statistical Journal, 2003 In several applications data are grouped and there are within-group correlations. With continuous data, there are several available models that are often used; with counting data, the Poisson distribution is the natural choice. In this paper a mixed log-
Maria Alexandra Seco, António St. Aubyn
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Revista de Saúde Pública, 1985 Apresenta-se de forma resumida análise multivariada de dados categóricos, usando modelo log-linear para a situação de uma tabela de contingência 2 x 2 x 2.A multivariate analysis of categorical data using a log-linear model for a 2 x 2 x 2 contingency ...
José Maria Pacheco de Souza +1 more
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