English  |  正體中文  |  简体中文  |  Items with full text/Total items : 58323/91876 (63%)
Visitors : 14057552      Online Users : 62
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/987654321/41345

    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

    Files in This Item:

    File Description SizeFormat
    Exact inference and prediction for K-sample exponential case under type-II censoring.pdf397KbAdobe 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