A Bivariate Ordered Probit Model with Truncation: Helmet Use and Motorcycle Injuries

DOI10.2307/2986327zbMath0825.62994OpenAlexW2283854321MaRDI QIDQ4844028

Andrew A. Weiss

Publication date: 17 August 1995

Published in: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2986327

zbMATH Keywords

heteroscedasticitymaximum likelihoodcategorial datahead injuryabbreviated injury scale

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Applications of statistics (62P99)

Related Items (3)

Group truncated ordinal regression ⋮ The Analysis of Group Truncated Binary Data with Random Effects: Injury Severity in Motor Vehicle Accidents ⋮ Bayesian approach to zero-inflated bivariate ordered probit regression model, with an application to tobacco use

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