Forecasting German crash numbers: The effect of meteorological variables-Reference-Cited by-同舟云学术

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Forecasting German crash numbers: The effect of meteorological variables

Published:2019-04 Issue: Volume:125 Page:336-343
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Diependaele Kevin,Martensen Heike,Lerner Markus,Schepers Andreas,Bijleveld Frits,Commandeur Jacques J.F.

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference15 articles.

1. Prediction by supervised principal components;Bair;J. Am. Stat. Assoc.,2006

2. Explaining the road accident risk: weather effects;Bergel-Hayat;Accid. Anal. Prev.,2013

3. Model-based measurement of latent risk in time series with applications;Bijleveld;J. R. Stat. Soc. A,2008

4. Risk of a road accident in rainy weather;Brodsky;Accid. Anal. Prev.,1988

5. Time Series Analysis by State Space Methods;Durbin,2012

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3. A Comparison Between Seasonal Autoregressive Integrated Moving Average (SARIMA) and Exponential Smoothing (ES) Based on Time Series Model for Forecasting Road Accidents;Arabian Journal for Science and Engineering;2021-05-10

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