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Equivalence of Statistical Independence and No-Correlation for a Pair of Random Variables Taking Two Values
http://hdl.handle.net/2237/00027409
http://hdl.handle.net/2237/0002740937c503a8-f68f-49d1-8da7-6553d2a05d72
名前 / ファイル | ライセンス | アクション |
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Item type | プレプリント / Preprint(1) | |||||
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公開日 | 2018-03-13 | |||||
タイトル | ||||||
タイトル | Equivalence of Statistical Independence and No-Correlation for a Pair of Random Variables Taking Two Values | |||||
言語 | en | |||||
著者 |
Ohira, Toru
× Ohira, Toru |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
抄録 | ||||||
内容記述 | It is well known that when a pair of random variables is statistically independent, it has no-correlation (zero covariance), and that the converse is not true (e.g. [1]). However, if both of these random variables take only two values, no-correlation entails statistical independence. We provide here a general proof. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_1843 | |||||
タイプ | other | |||||
書誌情報 |
発行日 2018-03-05 |
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著者版フラグ | ||||||
値 | publisher |