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  1. 紀要論文
  2. 浜松医科大学紀要
  3. 18

競馬データにみられる統計的偏りについて (1)

http://hdl.handle.net/10271/13
http://hdl.handle.net/10271/13
46d1e815-e766-4a58-8b79-839f02042962
名前 / ファイル ライセンス アクション
kiyo18_1.pdf kiyo18_1.pdf (656.4 kB)
Item type 紀要論文 / Departmental Bulletin Paper(1)
公開日 2013-08-27
タイトル
タイトル 競馬データにみられる統計的偏りについて (1)
言語
言語 jpn
キーワード
主題Scheme Other
主題 contingency table
キーワード
主題Scheme Other
主題 chi-square test
キーワード
主題Scheme Other
主題 sampling as the null hypothesis
キーワード
主題Scheme Other
主題 adjacent interval
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ departmental bulletin paper
著者 野田, 明男

× 野田, 明男

野田, 明男

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書誌情報 浜松医科大学紀要. 一般教育

巻 18, p. 1-11, 発行日 2004-03-29
出版者
出版者 浜松医科大学
抄録
内容記述タイプ Abstract
内容記述 The purpose of the present paper is to report what type of statistical bias the author has found in the horse racing data (based on [3]). In order to explain the type of statistical bias, let us consider a racing with m participants. We denote by {a, b, c}(1 ≦ a < b < c ≦ m) a set of numbers of the first, second and third racehorses to reach the goal. The number of each participant is determined by lot, which leads us to the following null hypothesis: H0: A set {a,b,c} is nothing but a result of random sampling from the set {1,2,…,m}. Studying the probability distributions of various random variables arising in the random sampling of H0 , we are in a position to examine, by means of the chi-square test, how frequency distributions observed in the data mentioned above deviate from the expected ones under the null hypothesis H0 . Our method of contracting the original data consists of studying two random variables, R = c - a (the range) and D = min {b - a, c - b} (the adjacent interval of three numbers), as well as the following pair of partitions of the total event: A0 = {2b = a + c}, A1 = {2b < a + c} and A2={2b > a + c} ; B0 = {a + b = c}, B1 = {a + b < c} and B2 = {a + b > c}. In this paper (1), we take up three racetracks, Chukyo, Hanshin and Kyoto, to examine all racings of m = 16 (and also m =14) carried out on these racetracks. Indeed, we sum up the original data into two kinds of contingency tables, the one corresponding to the joint probability distribution of (R,D) and the other to the 3×3 probability table of the product events Ai ∩ Bj (i, j = 0, 1,2). Performing the chisquare tests for these contingency tables, we are able to detect some types of statistical bias for each racetrack. Furthermore, these results tell us interesting dependency of the type of detected bias upon the racetrack, which suggests that the individual character of racetrack can be extracted from the long-term racing files [3].
ISSN
収録物識別子タイプ ISSN
収録物識別子 09140174
NII書誌ID
収録物識別子タイプ NCID
収録物識別子 AN10032827
フォーマット
内容記述タイプ Other
内容記述 application/pdf
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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