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    題名: Nonparametric classification on two univariate distributions
    作者: 林千代;Lin, Chien-tai
    貢獻者: 淡江大學數學學系
    關鍵詞: Conditional probabilities of correct classification;Kolmogorov distance
    日期: 2001-02-01
    上傳時間: 2010-01-28 06:54:01 (UTC+8)
    出版者: Taylor & Francis
    摘要: A classification rule based on the minimum Kolmogorov distance for classifying an individual into one of two univariate populations is proposed. Some almost sure convergence theorems are derived and then utilized to study the limiting distributions of the conditional probabilities of correct classification. It is shown that the asymptotic distributions of the conditional probabilities of correct classification are normal under some mild conditions.
    關聯: Communications in Statistics: Theory and Methods 30(2), pp.319-330
    DOI: 10.1081/STA-100002034
    顯示於類別:[數學學系暨研究所] 期刊論文

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