K. Gakis, P. Pardalos, Chang-Hwan Choi, Jae-Hyeon Park, Jiwun Yoon
{"title":"多选手比赛的概率模型仿真","authors":"K. Gakis, P. Pardalos, Chang-Hwan Choi, Jae-Hyeon Park, Jiwun Yoon","doi":"10.30958/AJSPO.5-2-1","DOIUrl":null,"url":null,"abstract":"Predictions of sports games have been recognized as an important area of study for its economic significance. The majority of models for such games cover two-player games and the resulting championships or study individual players or teams and their resulting comparative position. However, many sports involve race-type multicontestant games, which are more complex in modeling. In this paper we outline the difficulties associated with the study of such races","PeriodicalId":8622,"journal":{"name":"ATHENS JOURNAL OF SPORTS","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation of a Probabilistic Model for Multi-Contestant Races\",\"authors\":\"K. Gakis, P. Pardalos, Chang-Hwan Choi, Jae-Hyeon Park, Jiwun Yoon\",\"doi\":\"10.30958/AJSPO.5-2-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Predictions of sports games have been recognized as an important area of study for its economic significance. The majority of models for such games cover two-player games and the resulting championships or study individual players or teams and their resulting comparative position. However, many sports involve race-type multicontestant games, which are more complex in modeling. In this paper we outline the difficulties associated with the study of such races\",\"PeriodicalId\":8622,\"journal\":{\"name\":\"ATHENS JOURNAL OF SPORTS\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ATHENS JOURNAL OF SPORTS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30958/AJSPO.5-2-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ATHENS JOURNAL OF SPORTS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30958/AJSPO.5-2-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation of a Probabilistic Model for Multi-Contestant Races
Predictions of sports games have been recognized as an important area of study for its economic significance. The majority of models for such games cover two-player games and the resulting championships or study individual players or teams and their resulting comparative position. However, many sports involve race-type multicontestant games, which are more complex in modeling. In this paper we outline the difficulties associated with the study of such races