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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29632


    Title: TOLERANCE LIMITS FOR INVERSE GAUSSIAN DISTRIBUTION
    Authors: TANG,LC;CHANG,DS
    Contributors: 企業管理研究所
    Keywords: FAILURE
    Date: 1994
    Issue Date: 2010-06-29 20:33:29 (UTC+8)
    Publisher: 中央大學
    Abstract: The inverse Gaussian distribution has been recognized as a versatile lifetime model with sound physical interpretation. However, it is not widely used as some of its important characteristics have not been obtained. In this paper, we derive simple expressions for one-sided lower tolerance limits of the inverse Gaussian distribution where the parameters are unknown. These proposed limits are constructed from confidence intervals of the parameters which are also available for multi-censored sample. A computationally simpler and less conservative approximation is also proposed. Monte Carlo simulations are carried out to evaluate these limits in terms of their average values and coverage probability.
    Relation: JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
    Appears in Collections:[Graduate Institute of Business Administration] journal & Dissertation

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