Results 261 to 270 of about 259,190 (301)
Some of the next articles are maybe not open access.
2006
Abstract Log-linear models for multidimensional tables of discrete data were first popularized by Goodman (1970) and Bishop et al. (1975). These models can be interpreted in terms of interactions between the various factors in multidimensional tables and are easily generalized to higher dimensions.
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Abstract Log-linear models for multidimensional tables of discrete data were first popularized by Goodman (1970) and Bishop et al. (1975). These models can be interpreted in terms of interactions between the various factors in multidimensional tables and are easily generalized to higher dimensions.
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Equivalence of Generative and Log-Linear Models
IEEE Transactions on Audio, Speech, and Language Processing, 2011Conventional speech recognition systems are based on hidden Markov models (HMMs) with Gaussian mixture models (GHMMs). Discriminative log-linear models are an alternative modeling approach and have been investigated recently in speech recognition. GHMMs are directed models with constraints, e.g., positivity of variances and normalization of conditional
Georg Heigold +4 more
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Table selection and log-linear models
Journal of Chronic Diseases, 1980Abstract The use of multi-dimensional contingency tables has become commonplace in the analysis of epidemiological data. This paper examines two problems in this methodology. First, for data having many response or dependent variables, it is often unclear as to which of many possible tables should be analyzed.
D H, Freeman, J F, Jekel
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Log-Linear Modelling and Spatial Analysis
Environment and Planning A: Economy and Space, 1985In the past decade the social sciences have seen an upsurge of interest in analysing multidimensional contingency tables using log-linear models. Two broad families of log-linear models may be distinguished: the family of conventional models and the family of unconventional models (that is, quasi-log-linear and hybrid models).
E Aufhauser, M M Fischer
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2014
The classical log-linear models are introduced for two-way and multi-way contingency tables. Estimation theory, goodness-of-fit testing, and model selection procedures are discussed. Characteristic examples are worked out in R and interpreted. Log-linear models for three-dimensional tables are illustrated through mosaic plots.
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The classical log-linear models are introduced for two-way and multi-way contingency tables. Estimation theory, goodness-of-fit testing, and model selection procedures are discussed. Characteristic examples are worked out in R and interpreted. Log-linear models for three-dimensional tables are illustrated through mosaic plots.
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Log-Linear Models for Linked Loci
Biometrics, 1984Noting the importance of measuring the pure effects of various disequilibrium parameters in a randomly mating population, the author suggests a class of log-linear models together with methods which enable one to choose the model which best fits the data.
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On the Log-Linear Inversion-Charge Relation for MOSFET Modeling
IEEE Transactions on Electron Devices, 2022Yuan Taur
exaly