Grouped Random Parameters Negative Binomial-Lindley for accounting unobserved heterogeneity in crash data with preponderant zero observations
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Grouped Random Parameters Negative Binomial-Lindley for accounting unobserved heterogeneity in crash data with preponderant zero observations
Authors
Keywords
-
Journal
Analytic Methods in Accident Research
Volume 37, Issue -, Pages 100255
Publisher
Elsevier BV
Online
2022-11-16
DOI
10.1016/j.amar.2022.100255
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety
- (2022) Ali Khodadadi et al. ACCIDENT ANALYSIS AND PREVENTION
- Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations
- (2022) A.S.M. Mohaiminul Islam et al. ACCIDENT ANALYSIS AND PREVENTION
- On the difficulty to think in ratios: a methodological bias in Stevens’ magnitude estimation procedure
- (2021) Alica Mertens et al. Attention Perception & Psychophysics
- Application of different negative binomial parameterizations to develop safety performance functions for non-federal aid system roads
- (2021) Ali Khodadadi et al. ACCIDENT ANALYSIS AND PREVENTION
- A random parameters with heterogeneity in means and Lindley approach to analyze crash data with excessive zeros: A case study of head-on heavy vehicle crashes in Queensland
- (2021) Krishna N.S. Behara et al. ACCIDENT ANALYSIS AND PREVENTION
- A New Econometric Approach for Modeling Several Count Variables: A Case Study of Crash Frequency Analysis by Crash Type and Severity
- (2021) Tanmoy Bhowmik et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Exploration of Hazardous Material Truck Crashes on Wyoming’s Interstate Roads using a Novel Hamiltonian Monte Carlo Markov Chain Bayesian Inference
- (2020) Irfan U. Ahmed et al. TRANSPORTATION RESEARCH RECORD
- A simulation analysis to study the temporal and spatial aggregations of safety datasets with excess zero observations
- (2020) Mohammadali Shirazi et al. Transportmetrica A-Transport Science
- Characteristics-based heuristics to select a logical distribution between the Poisson-gamma and the Poisson-lognormal for crash data modelling
- (2019) Mohammadali Shirazi et al. Transportmetrica A-Transport Science
- Relationship between Level of Service and Traffic Safety at Signalized Intersections: Grouped Random Parameter Method
- (2018) Jia Li et al. Journal of Transportation Engineering Part A-Systems
- Modeling the Frequency of Water Main Breaks in Water Distribution Systems: Random-Parameters Negative-Binomial Approach
- (2017) Hamed Zamenian et al. Journal of Infrastructure Systems
- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
- (2016) Aki Vehtari et al. STATISTICS AND COMPUTING
- A caution about using deviance information criterion while modeling traffic crashes
- (2013) Srinivas Reddy Geedipally et al. SAFETY SCIENCE
- Effects of Adverse Weather on Traffic Crashes
- (2008) Lin Qiu et al. TRANSPORTATION RESEARCH RECORD
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search