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      Editorial special issue: Statistics in sports

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      1 , 2 ,
      Advances in Statistical Analysis
      Springer Berlin Heidelberg

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          Abstract

          Triggered by advances in data gathering technologies, the use of statistical analyzes, predictions and modeling techniques in sports has gained a rapidly growing interest over the last decades. Today, professional sports teams have access to precise player positioning data and sports scientists design experiments involving non-standard data structures like movement-trajectories. This special issue on statistics in sports is dedicated to further foster the development of statistics and its applications in sports. The contributed articles address a wide range of statistical problems such as statistical methods for prediction of game outcomes, for prevention of sports injuries, for analyzing sports science data from movement laboratories, for measurement and evaluation of player performance, etc. Finally, also SARS-CoV-2 pandemic-related impacts on the sport’s framework are investigated.

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          Analysis of sports data by using bivariate Poisson models

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            A uniform framework for the combination of penalties in generalized structured models

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              Author and article information

              Contributors
              groll@statistik.tu-dortmund.de
              dliebl@uni-bonn.de
              Journal
              Adv Stat Anal
              Adv Stat Anal
              Advances in Statistical Analysis
              Springer Berlin Heidelberg (Berlin/Heidelberg )
              1863-8171
              1863-818X
              11 July 2022
              11 July 2022
              : 1-7
              Affiliations
              [1 ]GRID grid.5675.1, ISNI 0000 0001 0416 9637, Fakultät Statistik, , TU Dortmund University, ; Vogelpothsweg 87, 44221 Dortmund, Germany
              [2 ]GRID grid.10388.32, ISNI 0000 0001 2240 3300, Institute of Finance and Statistics, , University Bonn, ; Adenauerallee 24-26, 53113 Bonn, Germany
              Author information
              http://orcid.org/0000-0002-9282-4394
              Article
              453
              10.1007/s10182-022-00453-9
              9272862
              4beb48cc-0b16-4194-b53e-af195baec9c6
              © The Author(s) 2022

              Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

              History
              : 23 May 2022
              : 29 May 2022
              Funding
              Funded by: FundRef http://dx.doi.org/10.13039/501100021797, Hausdorff Research Institute for Mathematics;
              Funded by: Rheinische Friedrich-Wilhelms-Universität Bonn (1040)
              Categories
              Editorial

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