[논문]A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities

Fountas, G.; Anastasopoulos, P.Ch.

doi:10.1016/j.amar.2017.03.002

A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities

Analytic methods in accident research, v.15, 2017년, pp.1 - 16

Fountas, G. , Anastasopoulos, P.Ch.

Abstract ▼ AI-Helper

This study uses highway accident data collected in the State of Washington, between 2011 and 2013, to study the factors that affect accident injury-severities. To account for the fixed thresholds limitation of the traditional ordered probability models - which typically leads to incorrect estimation of outcome probabilities for the intermediate categories - and for the possibility of unobserved factors systematically varying across the observations, a random thresholds hierarchical ordered probit model with random parameters is estimated. This approach simultaneously allows the explanatory parameters to vary across roadway segments, and the thresholds to vary both as a function of explanatory parameters and across the observations, thus accounting for unobserved and threshold heterogeneity, respectively. Using goodness-of-fit measures, likelihood ratio tests and forecasting accuracy measures, the model estimation results are compared with the hierarchical and fixed thresholds ordered probit model counterparts, with fixed and random parameters. The comparative assessment among the ordered probit modeling approaches reveals the relative benefits and the overall statistical superiority of the random thresholds random parameters hierarchical ordered probit model.

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표제어: PCR

동의어: Packet Collision Rate

용어 설명 출처 목록 (6)

용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

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A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities

Abstract ▼ AI-Helper

주제어

참고문헌 (60)

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