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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/41345


    Title: Exact inference and prediction for K-sample exponential case under type-II censoring
    Authors: Balakrishnan, N.;林千代;Lin, Chien-tai
    Contributors: 淡江大學數學學系
    Keywords: Best linear unbiased estimator;Exponential distribution;K-sample doubly Type-II censored sample;Normalized spacings;Order statistics
    Date: 2005-05
    Issue Date: 2010-01-28 07:21:05 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: The exact inference and prediction intervals for the K-sample exponential scale parameter under doubly Type-II censored samples are derived using an algorithm of Huffer and Lin [Huffer, F.W. and Lin, C.T., 2001, Computing the joint distribution of general linear combinations of spacings or exponen-tial variates. Statistica Sinica, 11, 1141–1157.]. This approach provides a simple way to determine the exact percentage points of the pivotal quantity based on the best linear unbiased estimator in order to develop exact inference for the scale parameter as well as to construct exact prediction intervals for failure times unobserved in the ith sample. Similarly, exact prediction intervals for failure times of units from a future sample can also be easily obtained.
    Relation: Journal of Statistical Computation and Simulation 75(5), pp.315-331
    DOI: 10.1080/0094965031000097214
    Appears in Collections:[Graduate Institute & Department of Mathematics] Journal Article

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