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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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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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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.
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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.
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1993
In this chapter the uses of log-linear modelling that have been discussed in Chapter 7 are extended to cover situations where resource selection can be related to factors such as the individual animals involved, or the time of day.
Bryan F. J. Manly +2 more
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In this chapter the uses of log-linear modelling that have been discussed in Chapter 7 are extended to cover situations where resource selection can be related to factors such as the individual animals involved, or the time of day.
Bryan F. J. Manly +2 more
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2018
This chapter introduces log-linear models which are the most widely used simple structures in the analysis of categorical data. Their simplicity comes from a multiplicative structure, where the multipliers depend on subsets of the variables, but not on all variables together.
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This chapter introduces log-linear models which are the most widely used simple structures in the analysis of categorical data. Their simplicity comes from a multiplicative structure, where the multipliers depend on subsets of the variables, but not on all variables together.
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Log-Linear Models: Interpretation
2018This chapter starts with the specification and handling of regression type problems for categorical data. The log-linear parameters can be transformed into multiplicative parameters, and these are useful in dealing with the regression problem for categorical variables, where this approach provides a clear and testable concept of separate effects versus
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Journal of the American Statistical Association, 1991
Dirk F. Moore, Ronald Christensen
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Dirk F. Moore, Ronald Christensen
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