Analysis of vehicle accident-injury severities: A comparison of segmentversus accident-based latent class ordered probit models with class-probability functions

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Journal Paper

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Journal: Analytic Methods in Accident Research Year:2018 | Volume:18 | Issue:- Page(s): 15-32

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Information Journal Paper

Title

Analysis of vehicle accident-injury severities: A comparison of segmentversus accident-based latent class ordered probit models with class-probability functions

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Abstract

Cites

Providing an Appropriate Prediction Model for Traffic Accidents: A Case Study on Accidents in Golestan, Mazandaran, Guilan, and Ardebil Provinces
Using Artificial Neural Network to Destroy the Process of Traffic Accident Victims in Yazd Province
Use of Econometric Techniques to Estimate the Traumatic Trend of Road Accidents
Evaluation of Decision-making Units in Reducing Traffic Accidents Using Data Envelopment Analysis

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APA: Copy

. (2018). Analysis of vehicle accident-injury severities: A comparison of segmentversus accident-based latent class ordered probit models with class-probability functions. Analytic Methods in Accident Research, 18(-), 15-32. SID. https://sid.ir/paper/728239/en

Vancouver: Copy

. Analysis of vehicle accident-injury severities: A comparison of segmentversus accident-based latent class ordered probit models with class-probability functions. Analytic Methods in Accident Research[Internet]. 2018;18(-):15-32. Available from: https://sid.ir/paper/728239/en

IEEE: Copy

, “Analysis of vehicle accident-injury severities: A comparison of segmentversus accident-based latent class ordered probit models with class-probability functions,” Analytic Methods in Accident Research, vol. 18, no. -, pp. 15–32, 2018, [Online]. Available: https://sid.ir/paper/728239/en

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