• Title/Summary/Keyword: 승률

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Suggestion of a New Method of Computing Percentage of Victories for the Korean Professional Baseball (한국 프로야구에서 새로운 승률제의 제안)

  • Kim, Hyuk-Joo
    • The Korean Journal of Applied Statistics
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    • v.24 no.6
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    • pp.1139-1148
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    • 2011
  • Team standings in the regular professional baseball league should be determined based on a reasonable criterion; however, an unreasonable Japanese method is being used in Korea as of 2011. In this paper, we suggest a new method of computing the percentage of victories constructed by combining the advantages of the methods to determine team standings used in Korean professional baseball. We also have applied preexistent methods and suggested method to past and present Korean professional baseball data.

The Correlation Of Weather And Hanhwa Eagles (날씨와 한화 이글스의 상관관계)

  • Heo, Tai-Sung;Kang, Ha-Ram
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.237-238
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    • 2021
  • 야구는 데이터 스포츠라 불릴 만큼 경기마다 많은 데이터가 생성되며, 이를 바탕으로 경기를 진행한다. 본 연구는 한국 프로야구 구단인 한화 이글스의 승률 및 타자의 성적과 날씨 사이의 상관관계를 분석하였다. 이를 위하여 한화 이글스의 승률과 타자의 성적을 한국프로야구(KBO) 공식 홈페이지 및 야구 기록 통계사이트 스탯티즈(statiz)에서 수집하였으며, 날씨 데이터는 온도와 습도를 고려한 불쾌지수 데이터를 기상청으로 부터 수집하였다. 파이선의 pandas 라이브러리를 사용하여 데이터 전처리를 실행하였다. 이후 파이선의 matplotlib 라이브러리를 이용하여 데이터 분석 및 시각화를 진행하였다. 본 연구의 분석 결과로는 불쾌지수가 보통일 때 승률이 가장 크고 높음일 때 가장 낮음을 확인할 수 있었다. 또한, 타자들의 평균 성적을 분석한 결과 보통과 매우 높음은 전체적인 타격 지수가 비슷하나 높음일 때 부진한 것으로 나왔다.

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Predicting Winning Rates of LOL in Real-time using Deep Learning (딥러닝을 이용한 실시간 게임 승률 예측)

  • Lee, Seon Hoon;Oh, Heung-Seon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.461-463
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    • 2019
  • 일반적으로 멀티 온라인 배틀 게임은 게임의 참가자들이 팀을 이루어 전략을 짜고 협력하여 주어진 목적을 성취하면 승리한다. 게임에서는 승리를 판가름 할 수 있는 다양한 요소(e.g. 골드, 아이템, 캐릭터의 레벨 등)들이 있다. 본 논문에서는 게임 플레이 중에 다양한 요소를 분석하여 실시간으로 승률을 예측할 수 있는 딥러닝 기반의 모델을 제안하고 이를 리그오브레전드 게임에 적용하여 그 결과를 분석하였다.

The estimation of winning rate in Korean professional baseball league (한국 프로야구의 승률 추정)

  • Kim, Soon-Kwi;Lee, Young-Hoon
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.3
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    • pp.653-661
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    • 2016
  • In this paper, we provide a suitable optimal exponent in the generalized Pythagorean theorem and propose to use the logistic model & the probit model to estimate the winning rate in Korean professional baseball league. Under a criterion of root-mean-square-error (RMSE), the efficiencies of the proposed models have been compared with those of the Pythagorean theorem. We use the team historic win-loss records of Korean professional baseball league from 1982 to the first half of 2015, and the proposed methods show slight outperformances over the generalized Pythagorean method under the criterion of RMSE.

세계 석유수급 및 가격전망

  • Korea Petroleum Association
    • Korea Petroleum Association Journal
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    • no.3 s.37
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    • pp.89-91
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    • 1984
  • 텍사코사의 최근 보고서에 의하면 80년대말에는 세계 원유공급이 줄어들어 90년대에 유가상승률은 일반물가상승률을 1~2% 상회하게 되며, 천연가스 가격은 중질유가격보다 낮아질 것이라고 한다. 다음은 택사코사의 석유수급 및 가격전망 보고서의 요약이다. <역자주>

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The winning probability in Korean series of Korean professional baseball (한국 프로야구 우승 결정방식에서의 우승확률)

  • Cho, Daehyeon
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.3
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    • pp.663-676
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    • 2016
  • In Korean professional baseball the championship team of the year is determined by the four series of games: semi-semi-playoff, semi-playoff, playoff and korean series. To the top 5 teams in a regular season privileges are given to play the games at post season. At semi-semi playoff the winner of two teams which are ranked at 4th and 5th place in the regular season can advance to the game of semi playoff. The winner at semi playoff advances to the playoff to play with the second place team in the regular season. Finally, the championship team is to be determined in the Korean series between the winner of the playoff and the first ranked team in the regular season. We propose methods of how to calculate the winning probabilities of each of high ranked 5 teams advancing to Korean series. From our proposed methods we can estimate the championship probabilities of each of high ranked 5 teams advancing to the Korean series only if we know the winning probabilities between two teams in the regular season or the post season.

Quantitative Evaluation Indicators for the City Bus Route Network (시내버스노선체계 평가를 위한 정량적 지표의 설정 및 적용)

  • 이상용;박경아
    • Journal of Korean Society of Transportation
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    • v.21 no.4
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    • pp.29-44
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    • 2003
  • A balanced evaluation system for a bus route network was proposed for a mid-sized suburban city. The evaluation system consists of 7 criteria-accessibility, riding comfort. transfer rate, directness of route, productivity of operation, regional equity, and minimum requirement of bus fleet - and quantitative indicators representing each of the criteria. The proposed system was applied in Siheung, a suburban city in Seoul Metropolitan Area. Four alternative scenarios of bus route network including the existing one were evaluated. The results showed that the suggested criteria and indicators are acceptable for the evaluation of a bus route network. In order to enhance the proposed evaluation procedure, further studies on the normalization of produced values and weights for each of the indicators are needed.

Forecasting Korean CPI Inflation (우리나라 소비자물가상승률 예측)

  • Kang, Kyu Ho;Kim, Jungsung;Shin, Serim
    • Economic Analysis
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    • v.27 no.4
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    • pp.1-42
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    • 2021
  • The outlook for Korea's consumer price inflation rate has a profound impact not only on the Bank of Korea's operation of the inflation target system but also on the overall economy, including the bond market and private consumption and investment. This study presents the prediction results of consumer price inflation in Korea for the next three years. To this end, first, model selection is performed based on the out-of-sample predictive power of autoregressive distributed lag (ADL) models, AR models, small-scale vector autoregressive (VAR) models, and large-scale VAR models. Since there are many potential predictors of inflation, a Bayesian variable selection technique was introduced for 12 macro variables, and a precise tuning process was performed to improve predictive power. In the case of the VAR model, the Minnesota prior distribution was applied to solve the dimensional curse problem. Looking at the results of long-term and short-term out-of-sample predictions for the last five years, the ADL model was generally superior to other competing models in both point and distribution prediction. As a result of forecasting through the combination of predictions from the above models, the inflation rate is expected to maintain the current level of around 2% until the second half of 2022, and is expected to drop to around 1% from the first half of 2023.