淡江大學機構典藏:Item 987654321/58692
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/58692


    Title: Asymptotic properties of maximum likelihood estimators based on progressive Type-II censoring
    Authors: Lin, Chien-Tai;Balakrishnan, N.
    Contributors: 淡江大學數學學系
    Keywords: Asymptotic theory;Consistency;Maximum likelihood;Progressive Type-II censoring;Missing information principle
    Date: 2011-11
    Issue Date: 2011-10-01 21:03:45 (UTC+8)
    Publisher: Heidelberg: Springer
    Abstract: 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.
    Relation: Metrika 74(3), pp.349-360
    DOI: 10.1007/s00184-010-0306-8
    Appears in Collections:[Department of Applied Mathematics and Data Science] Journal Article

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