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Transportation Research Part A: Policy and Practice, 2013
A novel logit-type discrete choice model is presented whose distinctive characteristic is that it "polarizes" or forces the prediction of choice probabilities towards values of 0 or 1. In real-world empirical tests this property enabled the new formulation, which we call the polarized logit model (PLM), to outperform the predictive capacity of other ...
De Grange, Louis +3 more
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A novel logit-type discrete choice model is presented whose distinctive characteristic is that it "polarizes" or forces the prediction of choice probabilities towards values of 0 or 1. In real-world empirical tests this property enabled the new formulation, which we call the polarized logit model (PLM), to outperform the predictive capacity of other ...
De Grange, Louis +3 more
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2014
The ordered logit model is a regression model for an ordinal response variable. The model is based on the cumulative probabilities of the response variable: in particular, the logit of each cumulative probability is assumed to be a linear function of the covariates with regression coefficients constant across response categories.
Grilli, Leonardo, Rampichini, Carla
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The ordered logit model is a regression model for an ordinal response variable. The model is based on the cumulative probabilities of the response variable: in particular, the logit of each cumulative probability is assumed to be a linear function of the covariates with regression coefficients constant across response categories.
Grilli, Leonardo, Rampichini, Carla
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2014
Das erste Problem, das bei der Untersuchung des Zusammenhangs zwischen einer dichotomen abhangigen Variablen und einer oder mehreren intervallskalierten und kontinuierlichen unabhangigen Variablen auftritt, besteht in der Suche nach einer geeigneten Gleichung fur diesen Zusammenhang bzw. fur eine geeignete Form der Gleichung.
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Das erste Problem, das bei der Untersuchung des Zusammenhangs zwischen einer dichotomen abhangigen Variablen und einer oder mehreren intervallskalierten und kontinuierlichen unabhangigen Variablen auftritt, besteht in der Suche nach einer geeigneten Gleichung fur diesen Zusammenhang bzw. fur eine geeignete Form der Gleichung.
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1992
Statistical models in which the endogenous random variables take only discrete values are known as discrete, categorical, qualitative — choice, or quanta! response models.1 This class of models was originally developed by psychologists and later adapted and extended by economists for describing consumers choices. These models have numerous applications
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Statistical models in which the endogenous random variables take only discrete values are known as discrete, categorical, qualitative — choice, or quanta! response models.1 This class of models was originally developed by psychologists and later adapted and extended by economists for describing consumers choices. These models have numerous applications
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Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models
Journal of Memory and Language, 2008T Florian Jaeger
exaly