Results 1 to 10 of about 21,427,340 (352)
Investigation on the Injury Severity of Drivers in Rear-End Collisions Between Cars Using a Random Parameters Bivariate Ordered Probit Model. [PDF]
Int J Environ Res Public Health, 2019 The existing studies on drivers’ injury severity include numerous statistical models that assess potential factors affecting the level of injury. These models should address specific concerns tailored to different crash characteristics.
Chen F, Song M, Ma X.
europepmc +4 more sources
Compliance Indicators of COVID-19 Prevention and Vaccines Hesitancy in Kenya: A Random-Effects Endogenous Probit Model [PDF]
Vaccines, 2021 Vaccine hesitancy remains a major public health concern in the effort towards addressing the COVID-19 pandemic. This study analyzed the effects of indicators of compliance with preventive practices on the willingness to take COVID-19 vaccines in Kenya ...
Abayomi Samuel Oyekale
doaj +2 more sources
The Scientist, 2019 This study assessed farmers’ perception of climate change, and estimated the determinants of, and evaluated the relationship among, adaptation practices using the multivariate probit model. A survey in 300 agricultural households was carried out covering
Arun GC, Yeo
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A semiparametric bivariate probit model for joint modeling of outcomes in STEMI patients. [PDF]
Comput Math Methods Med, 2014 In this work we analyse the relationship among in-hospital mortality and a treatment effectiveness outcome in patients affected by ST-Elevation myocardial infarction.
Ieva F, Marra G, Paganoni AM, Radice R.
europepmc +2 more sources
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model [PDF]
International Joint Conference on Artificial Intelligence, 2020 Multi-label classification is the challenging task of predicting the presence and absence of multiple targets, involving representation learning and label correlation modeling.
Junwen Bai, Shufeng Kong, C. Gomes
semanticscholar +1 more source
Transportmetrica A: Transport Science, 2021 To account for the spatial correlation of crashes that are in close proximity, this study proposes a Bayesian spatial generalized ordered probit (SGOP) model with Leroux conditional autoregressive (CAR) prior for crash severity analysis.
Q. Zeng +3 more
semanticscholar +1 more source
New estimators for the probit regression model with multicollinearity
Scientific African, 2023 The probit regression model (PRORM) aims to model a binary response with one or more explanatory variables. The parameter of the PRORM is estimated using an estimation method called the maximum likelihood (ML), like a logistic model.
Mohamed R. Abonazel +3 more
doaj +1 more source
Revstat Statistical Journal, 2021 Skewed probit regression is but one example of a statistical model that generalizes a simpler model, like probit regression. All skew-symmetric distributions and link functions arise from symmetric distributions by incorporating a skewness parameter ...
Janet van Niekerk , Håvard Rue
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ESTIMASI PARAMETER MODEL PROBIT PADA DATA PANEL MENGGUNAKAN OPTIMASI BFGS
Barekeng, 2020 One model that may explain the pattern of the relationship between the categorical dependent variable and the independent variables is probit regression. In the probit regression, the independent variable can be categorical or continuous.
Halistin Halistin +3 more
doaj +1 more source
Cogent Engineering, 2023 This study intended to investigate the injury severity of animal-vehicle crashes (AVCs) and identify the contributing factors from the perspective of animals.
Quan Yuan +5 more
doaj +1 more source