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Subject Item
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Donald Rubin ドナルド・ルービン Donald Rubin Donald Rubin دونالد روبين
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Donald Bruce Rubin (ur. 22 grudnia 1943) – statystyk amerykański, znany z pionierskiego wkładu w dziedzinę wnioskowania przyczynowego i opracowanie metod imputacji brakujących danych. ドナルド・ブルース・ルービン(Donald Bruce Rubin、1943年12月22日 - )は、ハーバード大学における統計学の名誉教授であり 、統計学部長を13年間務めた。中国の清華大学とフィラデルフィアのテンプル大学でも働いている。 ルービン因果モデル、観測データによる因果推論のための一連の手法、欠測データ処理の手法、などで広く知られている。 1977年にアメリカ統計学会のフェローに選出された。 دونالد روبين (بالإنجليزية: Donald B. Rubin)‏ هو إحصائي وعالم نفس أمريكي، ولد في 22 ديسمبر 1943. Donald B Rubin est un statisticien américain né le 22 décembre 1943. Il est célèbre pour avoir développé l'algorithme espérance-maximisation, un algorithme de maximisation numérique très utilisé en statistiques, les méthodes de méta-analyse, les méthodes d'appariement en statistiques et surtout le modèle causal de Neymann-Rubin. Il est aussi un spécialiste de l'analyse bayésienne des données. Donald Bruce Rubin (born December 22, 1943) is an Emeritus Professor of Statistics at Harvard University, where he chaired the department of Statistics for 13 years. He also works at Tsinghua University in China and at Temple University in Philadelphia. He is most well known for the Rubin causal model, a set of methods designed for causal inference with observational data, and for his methods for dealing with missing data. In 1977 he was elected as a Fellow of the American Statistical Association.
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Donald B Rubin at Harvard University, circa 2013.
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دونالد روبين (بالإنجليزية: Donald B. Rubin)‏ هو إحصائي وعالم نفس أمريكي، ولد في 22 ديسمبر 1943. Donald B Rubin est un statisticien américain né le 22 décembre 1943. Il est célèbre pour avoir développé l'algorithme espérance-maximisation, un algorithme de maximisation numérique très utilisé en statistiques, les méthodes de méta-analyse, les méthodes d'appariement en statistiques et surtout le modèle causal de Neymann-Rubin. Il est aussi un spécialiste de l'analyse bayésienne des données. ドナルド・ブルース・ルービン(Donald Bruce Rubin、1943年12月22日 - )は、ハーバード大学における統計学の名誉教授であり 、統計学部長を13年間務めた。中国の清華大学とフィラデルフィアのテンプル大学でも働いている。 ルービン因果モデル、観測データによる因果推論のための一連の手法、欠測データ処理の手法、などで広く知られている。 1977年にアメリカ統計学会のフェローに選出された。 Donald Bruce Rubin (born December 22, 1943) is an Emeritus Professor of Statistics at Harvard University, where he chaired the department of Statistics for 13 years. He also works at Tsinghua University in China and at Temple University in Philadelphia. He is most well known for the Rubin causal model, a set of methods designed for causal inference with observational data, and for his methods for dealing with missing data. In 1977 he was elected as a Fellow of the American Statistical Association. Donald Bruce Rubin (ur. 22 grudnia 1943) – statystyk amerykański, znany z pionierskiego wkładu w dziedzinę wnioskowania przyczynowego i opracowanie metod imputacji brakujących danych.
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