淡江大學機構典藏:Item 987654321/69211
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 58617/92280 (64%)
Visitors : 563023      Online Users : 66
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69211


    Title: On characterizations of generalized mixtures of geometric and expenential distributions by conditional expectation of record values
    Authors: 吳忠武;Wu, Jong-wuu;Lee, W.C.
    Contributors: 淡江大學統計學系
    Date: 1999-01-01
    Issue Date: 2011-10-23 16:36:57 (UTC+8)
    Abstract: Lex XU(1)<XU(2)<…<XU(n)<…be the sequence of the upper record values from a population with common distribution function F. In this paper, we first give a theorem to characterize the generalized mixtures of geometric distribution by the relation between E[XU(n+1)|Xu(n)=x]and the function of the failure rate of the distribution, for any positive integer n. Secondly, we also use the same relation to characterize the generalized mixtures of exponential distribution. The characterizing relations were motivated by the work of Srivastava(1979), Ahsanullah and Holland(1984)and Nagaraja(1977).
    Relation: Journal of the Japan statistical society 29, pp.99-104
    DOI: 10.14490/jjss1995.29.99
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML37View/Open
    On characterizations of generalized mixtures of geometric and expenential distributions by conditional expectation of record values.pdf499KbAdobe PDF0View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback