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2017 | 5 | 44-53
Article title

Statistical Description of Arrival Sequences in Amateur Long-Distance Races

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EN
In this paper, we analyze data sets, collected from the public web sites, containing the finishers arrival times in five different half marathons. We focus on finding patterns in the arrival times distributions as well as on studying the differences between the female and male runners’ arrival times distributions. The main statistical tools used are Analysis of Variance and Kolmogorov - Smirnov test for identifying underlying distributions and for comparing distributions of two samples. The obtained results indicate that the dynamics of groups of female runners is different than that of male runners. Also, a meaningful factor for the sha pe of the distribution is time limit set by the races organizers.
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5
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44-53
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References
  • 1. Rodriguez E, Espinosa - Paredes G, Alvarez - Ramirez J. Convection – diffusion effects in marathon race dynamics. Physica A 2014, 393: 498 – 507. http://dx.doi.org/10.1016/j.physa.2013.09.051
  • 2. Alvarez - Ramirez J, Rodriguez E. Scaling properties of marathon races. Physica A 2006, 365: 509 – 520. doi: 10.1016/j.physa.2005.09.066
  • 3. Sabhapandit S, Ma jumdar S N, Redner S. Crowding at the front of marathon packs. J. Stat. Mech. Theor. Exp. 1008, 3: L03001. http://dx.doi.org/10.1088/1742 - 5468/2008/03/L03001
  • 4. Alvarez - Ramirez J, Rodriguez E, Dagdug L. Time - correlations in marathon arrival sequences. Physica A 2007, 380: 447 - 454. http://dx.doi.org/10.1016/j.physa.2007.03.008
  • 5. Garcia - Manso J M, Martin - Gonzales J M, Davila N, Ariazza E . Middle and long distance athletics races viewed from the perspective of complexity . J. Theor. Biol. 2005, 233: 191 - 198. doi: 10.1016/j.jtbi.2004.10.014
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paper
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bwmeta1.element.psjd-74c80f74-fd95-4c49-8090-50075b4c2810
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