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    題名: Asymptotic properties of maximum likelihood estimators based on progressive Type-II censoring
    作者: Lin, Chien-Tai;Balakrishnan, N.
    貢獻者: 淡江大學數學學系
    關鍵詞: Asymptotic theory;Consistency;Maximum likelihood;Progressive Type-II censoring;Missing information principle
    日期: 2011-11
    上傳時間: 2011-10-01 21:03:45 (UTC+8)
    出版者: Heidelberg: Springer
    摘要: Hoadley (Ann Math Stat 42:1977–1991, 1971) studied the weak law of large numbers for independent and non-identically distributed random variables. Using that result along with the missing information principle, we establish the consistency and asymptotic normality of maximum likelihood estimators based on progressively Type-II censored samples.
    關聯: Metrika 74(3), pp.349-360
    DOI: 10.1007/s00184-010-0306-8
    顯示於類別:[應用數學與數據科學學系] 期刊論文

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