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Comparative Analysis of Diversification Rates in Clonal and Non-Clonal Flowering Plants. [PDF]
Ecol LettKadyan S +5 more
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, 2004 In this chapter we study log-linear models which are useful for modeling multivariate discrete data. There is a strong connection between log-linear models and undirected graphs.
Dunn, Peter K.
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WIREs Computational Statistics, 2011
AbstractThis article describes log‐linear models as special cases of generalized linear models. Specifically, log‐linear models use a logarithmic link function. Log‐linear models are used to examine joint distributions of categorical variables, dependency relations, and association patterns.
Von Eye, Alexander +2 more
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AbstractThis article describes log‐linear models as special cases of generalized linear models. Specifically, log‐linear models use a logarithmic link function. Log‐linear models are used to examine joint distributions of categorical variables, dependency relations, and association patterns.
Von Eye, Alexander +2 more
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Technometrics, 1992
Throughout the last 15 or 20 years, social scientists have seen a substantial body of literature published in their journals on the subject of analyzing categorical or qualitative data. Many of these articles begin by bemoaning the fact that most of the multivariate statistical tools that social scientists have at their disposal, i.e., the tools that ...
Shiva S. Halli, K. Vaninadha Rao
+4 more sources
Throughout the last 15 or 20 years, social scientists have seen a substantial body of literature published in their journals on the subject of analyzing categorical or qualitative data. Many of these articles begin by bemoaning the fact that most of the multivariate statistical tools that social scientists have at their disposal, i.e., the tools that ...
Shiva S. Halli, K. Vaninadha Rao
+4 more sources
Strategies for the Selection of Log-Linear Models
Biometrics, 1978In a multidimensional contingency table strategies have been proposed to build log-linear models using either stepwise methods or standardized estimates of the parameters of the saturated model. Brown (1976) proposed a two-step procedure to screen effects and then test a subset of models.
Benedetti, Jacqueline K. +1 more
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Conditional log-linear structures for log-linear modelling
Computational Statistics & Data Analysis, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Aggregation with Log-Linear Models
The Review of Economic Studies, 1992When economic theory suggests a log-linear specification for individual agents, e.g., CobbDouglas production, it is common to estimate the same log-linear model with aggregate data, invoking a representative agent assumption and thereby assuming away aggregation errors.
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2012
This chapter describes graphical models for multivariate discrete (categorical) data. It starts out by describing various different ways in which such data may be represented in R—for example, as contingency tables—and how to convert between these representations.
Søren Højsgaard +2 more
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This chapter describes graphical models for multivariate discrete (categorical) data. It starts out by describing various different ways in which such data may be represented in R—for example, as contingency tables—and how to convert between these representations.
Søren Højsgaard +2 more
openaire +1 more source