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Filtering by: Academic Affiliation Civil and Construction Engineering Advisor Hernandez, Sal Committee Member Zhang, Eugene Date 2016 Language English [eng]

1. An Evaluation of the Random-Parameter and Latent Class Methods for Heavy Vehicle Injury Severity and Crash Rate Analysis : An Idaho Case Study by Roadway Classification

Creator:: Anderson, Jason
Abstract:: This thesis provides a comparison of advanced econometric frameworks to account for unobserved factors in crash reported data (also referred to as unobserved heterogeneity) while identifying contributing factors by roadway classification for heavy vehicle injury severity and crash rates. The presented thesis provides two manuscripts that expand the literature regarding...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

1. An Evaluation of the Random-Parameter and Latent Class Methods for Heavy Vehicle Injury Severity and Crash Rate Analysis : An Idaho Case Study by Roadway Classification

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1. An Evaluation of the Random-Parameter and Latent Class Methods for Heavy Vehicle Injury Severity and Crash Rate Analysis : An Idaho Case Study by Roadway Classification

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