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タニザキ ヒサシ
Hisashi Tanizaki
谷崎 久志 所属 追手門学院大学 理工学部 数理・データサイエンス学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2004 |
| 形態種別 | 外国学術誌(その他) |
| 査読 | 査読あり |
| 標題 | Exact Distributions of R2 and Adjusted R2 in a Linear Regression Model with Multivariate t Error Terms |
| 執筆形態 | 共著・編著(代表編著を除く) |
| 掲載誌名 | Journal of the Japan Statistical Society |
| 掲載区分 | 国内 |
| 出版社・発行元 | The Japan Statistical Society |
| 巻・号・頁 | Vol.34, No.1, pp.101-109(1),pp.101-109 |
| 担当区分 | 最終著者 |
| 著者・共著者 | Kazuhiro Ohtani,Hisashi Tanizaki |
| 概要 | In this paper we consider a linear regression model when error terms obey a multivariate t distribution, and examine the effects of departure from normality of error terms on the exact distributions of the coefficient of determination (say, R^2) and adjusted R^2 (say, R^2 ). We derive the exact formulas for the density function, distribution function and m-th moment, and perform numerical analysis based on the exact formulas. It is shown that the upward bias of R^2 gets serious and the standard error of R^2 gets large as the degrees of freedom of the multivariate t error distribution (say, V_0) get small. The confidence intervals of R^2 and R^2 are examined, and it is shown that when the values of V_0 and the parent coefficient of determination (say, Φ) are small, the upper confidence limits are very large, relative to the value of Φ. |
| DOI | 10.14490/jjss.34.101 |
| ISSN | 0389-5602 |
| NAID | 110003144475 |
| PermalinkURL | http://id.ndl.go.jp/bib/7042932 |
| researchmap用URL | http://id.nii.ac.jp/1141/00022932/ |