Results 11 to 20 of about 397,901 (297)
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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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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conting: An R Package for Bayesian Analysis of Complete and Incomplete Contingency Tables [PDF]
Journal of Statistical Software, 2014 The aim of this paper is to demonstrate the R package conting for the Bayesian analysis of complete and incomplete contingency tables using hierarchical log-linear models. This package allows a user to identify interactions between categorical factors (
Antony M. Overstall, Ruth King
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COMPOSITE MIXTURE OF LOG-LINEAR MODELS WITH APPLICATION TO PSYCHIATRIC STUDIES. [PDF]
Ann Appl Stat, 2022 Psychiatric studies of suicide provide fundamental insights on the evolution of severe psychopathologies, and contribute to the development of early treatment interventions.
Aliverti E, Dunson DB.
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Bayesian inference for Poisson and multinomial log-linear models [PDF]
, 2009 Categorical data frequently arise in applications in the social sciences. In such applications,the class of log-linear models, based on either a Poisson or (product) multinomial response distribution, is a flexible model class for inference and ...
Forster, Jonathan J.
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Adjusted analysis using robust log-linear models.
, 2021 Adjusted analysis using robust log-linear models.
Ahmed Hossain (3525839) +6 more
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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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Synergy and Antagonism in Log-Linear Models
, 2023 Synergy and antagonism have been extensively studied in the context of the statistical analysis of drug combinations given to treat a disease. “Synergy” (“antagonism”, resp.) in a drug combination occurs when the desirable effect of two drugs given ...
Hasan, Md Nahid
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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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