What is he best known for?
The fields of study he is best known for:
- Statistics
- Transport engineering
- Marketing
Fred L. Mannering mainly focuses on Transport engineering, Injury prevention, Human factors and ergonomics, Occupational safety and health and Statistics.
Fred L. Mannering combines subjects such as Econometrics, Estimation and Statistical model with his study of Transport engineering.
His studies deal with areas such as Mixed logit, Logistic regression, Empirical research and Data collection as well as Statistical model.
Among his research on Injury prevention, you can see a combination of other fields of science like Forensic engineering and Accident.
His Statistics research incorporates themes from Collision and Simulation.
His Regression analysis research incorporates elements of Linear model and Quasi-likelihood.
His most cited work include:
- Statistical and econometric methods for transportation data analysis (1486 citations)
- The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives (1019 citations)
- Analytic methods in accident research: Methodological frontier and future directions (568 citations)
What are the main themes of his work throughout his whole career to date?
Fred L. Mannering mostly deals with Transport engineering, Econometrics, Injury prevention, Human factors and ergonomics and Statistics.
The Transport engineering study which covers Estimation that intersects with Duration.
His studies in Econometrics integrate themes in fields like Mixed logit and Markov chain Monte Carlo.
Occupational safety and health and Forensic engineering are fields of study that intersect with his Injury prevention research.
In his research, Fred L. Mannering performs multidisciplinary study on Human factors and ergonomics and Multinomial logistic regression.
His works in Negative binomial distribution, Markov chain and Poisson distribution are all subjects of inquiry into Statistics.
He most often published in these fields:
- Transport engineering (44.00%)
- Econometrics (19.20%)
- Injury prevention (13.20%)
What were the highlights of his more recent work (between 2016-2021)?
- Econometrics (19.20%)
- Random parameters (5.20%)
- Estimation (11.20%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Econometrics, Random parameters, Estimation, Injury prevention and Multinomial logistic regression.
The Econometrics study combines topics in areas such as Class, Probabilistic logic and Series.
His Estimation study incorporates themes from Statistics and Variance reduction.
His Injury prevention study frequently involves adjacent topics like Human factors and ergonomics.
In Multinomial logistic regression, Fred L. Mannering works on issues like Demography, which are connected to Affect.
His research in Transport engineering intersects with topics in Reliability and Range.
Between 2016 and 2021, his most popular works were:
- Temporal instability and the analysis of highway accident data (126 citations)
- Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances (119 citations)
- Occupant injury severities in hybrid-vehicle involved crashes: A random parameters approach with heterogeneity in means and variances (89 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Transport engineering
- Marketing
Fred L. Mannering spends much of his time researching Range, Econometrics, Human factors and ergonomics, Transport engineering and Random parameters.
His Range study is concerned with the larger field of Statistics.
His Statistics research is multidisciplinary, incorporating perspectives in Truck and Horsepower.
The various areas that Fred L. Mannering examines in his Econometrics study include Class and Probabilistic logic.
His Human factors and ergonomics study frequently links to adjacent areas such as Injury prevention.
His Transport engineering research includes themes of Automotive engineering, Demography and Random parameter logit.
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