Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      An Extreme Value Theory approach to estimate crash risk during mandatory lane-changing in a connected environment

      , ,
      Analytic Methods in Accident Research
      Elsevier BV

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references68

          • Record: found
          • Abstract: found
          • Article: not found

          A Statistical Distribution Function of Wide Applicability

          This paper discusses the applicability of statistics to a wide field of problems. Examples of simple and complex distributions are given.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Statistical Inference Using Extreme Order Statistics

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire

                Bookmark

                Author and article information

                Journal
                Analytic Methods in Accident Research
                Analytic Methods in Accident Research
                Elsevier BV
                22136657
                March 2022
                March 2022
                : 33
                : 100193
                Article
                10.1016/j.amar.2021.100193
                de0d0724-f2bb-4e88-9213-7cf33af4c650
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

                History

                Comments

                Comment on this article