Results 11 to 20 of about 396,841 (260)
A Complete Characterization of the Linear, Log-Linear, and Semi-Log Incomplete Demand System Models
Journal of Agricultural and Resource Economics, 2002 This study extends LaFrance's (1985, 1986, 1990) previous research by deriving the necessary parameter restrictions for two additional classes of incomplete demand system models to be integrable.
Roger H. von Haefen
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A Framework to Interpret Nonstandard Log-Linear Models
Austrian Journal of Statistics, 2016 The formulation of log-linear models within the framework of Generalized Linear Models offers new possibilities in modeling categorical data. The resulting models are not restricted to the analysis of contingency tables in terms of ordinary hierarchical ...
Patrick Mair
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On the Occurrence of Boundary Solutions in Two-Way Incomplete Tables
Revstat Statistical Journal, 2020 The analysis of incomplete contingency tables is an important problem, which is also of practical interest. In this paper, we consider boundary solutions under nonignorable nonresponse models in two-way incomplete tables with data on both variables ...
Sayan Ghosh , Palaniappan Vellaisamy
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Question classification with log-linear models
Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006 Question classification has become a crucial step in modern question answering systems. Previous work has demonstrated the effectiveness of statistical machine learning approaches to this problem. This paper presents a new approach to building a question classifier using log-linear models.
Blunsom, P, Kocik, K, Curran, J
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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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Ordinal Log-Linear Models for Contingency Tables
Folia Oeconomica Stetinensia, 2016 A log-linear analysis is a method providing a comprehensive scheme to describe the association for categorical variables in a contingency table. The log-linear model specifies how the expected counts depend on the levels of the categorical variables for ...
Brzezińska Justyna
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Revista de Saúde Pública, 1998 INTRODUÇÃO: As estatísticas dos acidentes de trabalho, como qualquer outro sistema de notificação, devem servir de base para determinar prioridades e decidir quais medidas preventivas devem ser adotadas.
Rosana F. Sampaio +3 more
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A log linear Poisson autoregressive model to understand COVID-19 dynamics in Saudi Arabia
Beni-Suef University Journal of Basic and Applied Sciences, 2022 Background On March 2, 2020, the first case of COVID-19 infection in Saudi Arabia was identified and announced by the health authorities. From first week of March, the number of new confirmed COVID-cases has gradually increased, reaching 2932 confirmed ...
Salem Mubarak Alzahrani
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Structure learning: some testing problems
Lietuvos Matematikos Rinkinys, 2005 The work is based on data about the prevalence of congenital anomalies among newborns in Lithuania. The log-linear model is used to assess dependence structure of a subset of categorical variables. It is shown that fitting the log-linear model with just
Marijus Radavičius +1 more
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Frontiers in Water, 2021 Water quality models use log-linear decay to estimate the inactivation of fecal indicator bacteria (FIB). The decay of molecular measurements of FIB does not follow a log-linear pattern.
Yolanda M. Brooks +2 more
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