Development Trend Analysis and Grey Prediction of Athletics Performance at Paris Olympic Games based on the Results of World Athletics Championships
In this paper,the mathematical statistics,comparative analysis,grey prediction and other research methods are used to analyze the development trend of the 15thto 19th World Athletics Championships,and the grey prediction model GM(1,1)theory is used to predict the results of the champions in the athletics events of the 2024 Paris Olympic Games.The results show that:(1)The development of speed events in the World Athletics Championships is relatively slow except for women's 100m hurdles and 400m hurdles,and women's development is better than men's.(2)The development stability of endurance events in the World Athletics Championships is poor,and the longer the distance,the greater the fluctuation of championship results;(3)The overall level of men's throwing events in the fast power event group of the World Athletics Championships remains high,except for men's pole vault,which has set a new world record in recent years.The development of other men's and women's events is relatively backward and slow,and there is still a lot of room for development;(4)The comprehensive category of the World Athletics Championships shows an overall upward trend,with men's decathlon and women's heptathlon maintaining a high level;(5)At present,there are a total of 26 athletes in the Chinese tathletics team qualified for the Paris Olympic Games,which is relatively small in number,and the standard events are single and concentrated,and the situation is relatively severe;(6)Race walking and women's throwing events are still the main forces in the athletics competitions of China in the Paris Olympic Games,with the greatest possibility of winning medals;(7)Through the analysis of the forecast data,the overall champion results of the athletics events at the 2024 Paris Olympic Games have an upward trend,and individual events are expected to set a new world record.
World Athletics ChampionshipsParis Olympic Gamesathleticsgrey prediction
NETL
NSTL
万方数据
维普
