Statistical modelling of gained university credits to evaluate the role of pre-enrolment assessment tests: An approach based on quantile regression for counts

DOI10.1177/1471082X15596087MaRDI QIDQ4971445

Leonardo Grilli, Roberta Varriale, Carla Rampichini

Publication date: 12 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

quantile regressiontwo-part modelhurdle modelzero-inflated countsregression chain graph

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

Bayesian spatial quantile regression for areal count data, with application on substitute care placements in Texas ⋮ Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance ⋮ Quantile regression for count data: jittering versus regression coefficients modelling in the analysis of credits earned by university students after remote teaching ⋮ A nonparametric approach to assess undergraduate performance ⋮ A Bayesian two-part quantile regression model for count data with excess zeros ⋮ Multiple smoothing parameters selection in additive regression quantiles ⋮ Parametric modeling of quantile regression coefficient functions with count data

Uses Software

• Stata

Cites Work

• Unnamed Item
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• Sequences of regressions and their independences
• Binomial Mixture Modeling of University Credits
• Multivariate Latent Growth Models for Mixed Data with Covariate Effects
• Goodness of Fit and Related Inference Processes for Quantile Regression
• Beyond mean regression
• Equivalence of Truncated Count Mixture Distributions and Mixtures of Truncated Count Distributions
• Bayesian Density Regression
• Quantiles for Counts

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