2018•Analytic Methods in Accident ResearchRequires access

Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data

Mohammad Razaur Rahman Shaon, Xiao Qin, Mohammadali Shirazi, Dominique Lord, Srinivas Reddy Geedipally

Open publisher page 72 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 72 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Count data, Negative binomial distribution, Markov chain Monte Carlo, Econometrics, Crash, Statistics, Bayesian probability, Random effects model

Back to paper search Browse research topics Original source

Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data — Research Paper | ScholarLens