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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Seymour Geisser ： ウィキペディア英語版 Seymour Geisser Seymour Geisser (October 5, 1929 – March 11, 2004) was a statistician noted for emphasizing the role of prediction in statistical inference.〔See ''predictive inference''.〕 In his book ''Predictive Inference: An Introduction'', he held that conventional statistical inference about unobservable population parameters amounts to inference about things that do not exist, following the work of Bruno de Finetti. He also pioneered the theory of cross-validation. He testified as an expert on interpretation of DNA evidence in more than 100 civil and criminal trials. He held that prosecutors often relied on flawed statistical models. On that topic, he wrote "Statistics, Litigation and Conduct Unbecoming" in the book ''Statistical Science in the Courtroom'', edited by Joe Gastwirth (Springer Verlag, 2000). ==Biography== He was born in New York City. He earned his Ph.D. at the University of North Carolina at Chapel Hill in 1955 under Harold Hotelling. In 1971, he founded the School of Statistics at the University of Minnesota, of which he was the Director for more than 30 years. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Seymour Geisser」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.