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Skew-probit measurement error models
Statistical Methodology, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bolfarine, Heleno, Lachos, V. H.
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Probit and Logit Model Selection
Communications in Statistics - Theory and Methods, 2010Monte Carlo experiments are conducted to compare the Bayesian and sample theory model selection criteria in choosing the univariate probit and logit models. We use five criteria: the deviance information criterion (DIC), predictive deviance information criterion (PDIC), Akaike information criterion (AIC), weighted, and unweighted sums of squared errors.
Guo Chen, Hiroki Tsurumi
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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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Reconsidering the multinomial probit model
Transportation Research Part B: Methodological, 1991Recently developed computational methods have greatly reduced the difficulty of estimating multinomial probit models and may soon make multinomial probit a computationally feasible option in applied travel demand modeling. This paper discusses some of the benefits and costs that are associated with the use of multinomial probit in demand modeling.
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Estimating the Correlation in Censored Probit Models
The Review of Economics and Statistics, 1996The estimation of censored probit models can result in an estimated correlation between the disturbances approaching [plus]1.0 or -1.0 when most of the observations are selected into the sample and the outcomes are unequally distributed. Outcomes of 0 can induce an estimated correlation of -1.0, and outcomes of 1 can induce an estimated correlation of [
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Specification Error in Probit Models
The Review of Economics and Statistics, 1985Yatchew, Adonis, Griliches, Zvi
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Pesticide use in vegetable crops in Pakistan: Insights through an ordered probit model
, 2017C. Damalas, M. Khan
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A Probit Model with Structured Covariance for Similarity Effects and Source of Volume Calculations
, 2018Jeffrey P. Dotson +6 more
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The Probit Choice Model Under Sequential Search with an Application to Online Retailing
Management Sciences, 2017Jun B. Kim +2 more
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