The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
pandangan teks lengkap
68
Kajian ini cuba membina kaedah ranking yang tepat untuk lima permainan bola berpasukan di Sukan Olimpik. Pertama, kajian menggunakan kaedah penarafan statistik untuk permainan bola berpasukan. Parameter tunggal, dipanggil rating, menunjukkan kekuatan dan kemahiran setiap pasukan. Kami menganggap bahawa perbezaan antara nilai penarafan menerangkan nisbah pemarkahan dalam perlawanan berdasarkan model regresi logistik. Nilai penarafan dianggarkan daripada markah pertandingan antarabangsa utama yang diadakan sebelum Sukan Olimpik Rio. Ramalan di Sukan Olimpik Rio menunjukkan bahawa kaedah yang dicadangkan boleh meramalkan keputusan perlawanan dengan lebih tepat daripada kedudukan rasmi dunia atau mata ranking dunia. Kaedah yang dicadangkan membolehkan 262 ramalan yang betul daripada 370 perlawanan, manakala menggunakan kedudukan rasmi dunia menghasilkan hanya 238 ramalan yang betul. Keputusan ini menunjukkan perbezaan yang ketara antara kedua-dua kriteria.
Eiji KONAKA
Meijo University
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Salinan
Eiji KONAKA, "A Unified Statistical Rating Method for Team Ball Games and Its Application to Predictions in the Olympic Games" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 6, pp. 1145-1153, June 2019, doi: 10.1587/transinf.2018EDP7315.
Abstract: This study tries to construct an accurate ranking method for five team ball games at the Olympic Games. First, the study uses a statistical rating method for team ball games. A single parameter, called a rating, shows the strength and skill of each team. We assume that the difference between the rating values explains the scoring ratio in a match based on a logistic regression model. The rating values are estimated from the scores of major international competitions that are held before the Rio Olympic Games. The predictions at the Rio Olympic Games demonstrate that the proposed method can more accurately predict the match results than the official world rankings or world ranking points. The proposed method enabled 262 correct predictions out of 370 matches, whereas using the official world rankings resulted in only 238 correct predictions. This result shows a significant difference between the two criteria.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDP7315/_p
Salinan
@ARTICLE{e102-d_6_1145,
author={Eiji KONAKA, },
journal={IEICE TRANSACTIONS on Information},
title={A Unified Statistical Rating Method for Team Ball Games and Its Application to Predictions in the Olympic Games},
year={2019},
volume={E102-D},
number={6},
pages={1145-1153},
abstract={This study tries to construct an accurate ranking method for five team ball games at the Olympic Games. First, the study uses a statistical rating method for team ball games. A single parameter, called a rating, shows the strength and skill of each team. We assume that the difference between the rating values explains the scoring ratio in a match based on a logistic regression model. The rating values are estimated from the scores of major international competitions that are held before the Rio Olympic Games. The predictions at the Rio Olympic Games demonstrate that the proposed method can more accurately predict the match results than the official world rankings or world ranking points. The proposed method enabled 262 correct predictions out of 370 matches, whereas using the official world rankings resulted in only 238 correct predictions. This result shows a significant difference between the two criteria.},
keywords={},
doi={10.1587/transinf.2018EDP7315},
ISSN={1745-1361},
month={June},}
Salinan
TY - JOUR
TI - A Unified Statistical Rating Method for Team Ball Games and Its Application to Predictions in the Olympic Games
T2 - IEICE TRANSACTIONS on Information
SP - 1145
EP - 1153
AU - Eiji KONAKA
PY - 2019
DO - 10.1587/transinf.2018EDP7315
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2019
AB - This study tries to construct an accurate ranking method for five team ball games at the Olympic Games. First, the study uses a statistical rating method for team ball games. A single parameter, called a rating, shows the strength and skill of each team. We assume that the difference between the rating values explains the scoring ratio in a match based on a logistic regression model. The rating values are estimated from the scores of major international competitions that are held before the Rio Olympic Games. The predictions at the Rio Olympic Games demonstrate that the proposed method can more accurately predict the match results than the official world rankings or world ranking points. The proposed method enabled 262 correct predictions out of 370 matches, whereas using the official world rankings resulted in only 238 correct predictions. This result shows a significant difference between the two criteria.
ER -