Nicola Berloco
Analytic Methods in Accident Research · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
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Papers from Nicola Berloco's perspective
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- Examination of Methods to Estimate Crash Counts by Collision Type
- Fitting Mixed Logit Models by Using Maximum Simulated Likelihood
- Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model
- Statistical and Econometric Methods for Transportation Data Analysis (Technometrics)
- Modeling over-dispersed crash data with a long tail: Examining the accuracy of the dispersion parameter in Negative Binomial models
- COMPARING ALTERNATIVE MODELS OF HETEROGENEITY IN CONSUMER CHOICE BEHAVIOR
- Stated Choice Methods: Analysis and Applications
- The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity (Marketing science (Providence, R.I.))
- On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice
- Discrete Choice Methods with Simulation by Kenneth E. Train