English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54451/89232 (61%)
Visitors : 10570621      Online Users : 14
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/987654321/113393

    Title: Parameter estimation for Burr type XII distribution with differential evolution and quasi-Newton approaches based on progressively Type I interval-censored samples
    Authors: J Zhu;H Xin;J Sun;Y-Y Fan;C Zheng;T-R Tsai
    Date: 2017-09
    Issue Date: 2018-05-10 12:10:39 (UTC+8)
    Abstract: Burr type XII distribution (BXIID) has earned more attention in the few past decades because of the flexibility of distribution shape for model fitting. However, no analytical closed formula solutions of the maximum likelihood estimates (MLEs) of BXIID parameters can be obtained based on progressively type I interval-censored (PTIIC) samples. In this manuscript, the differential evolution algorithm (DE) and quasi-Newton method (QN) are applied to searching the MLEs of BXIID parameters based on PTIIC samples. The performance of DE and QN is evaluated by means of Monte Carlo simulations. Simulation results show that the DE outperforms QN in terms of smaller bias and mean squared error (MSE) of the MLEs.

    Parameter estimation for burr type XII distribution with.... Available from: https://www.researchgate.net/publication/319494371_Parameter_estimation_for_burr_type_XII_distribution_with_differential_evolution_and_Quasi-Newton_approaches_based_on_progressively_type_I_interval-censored_samples [accessed May 09 2018].
    Relation: ICIC Express Letters B 8(9), p.1299-1306
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

    Files in This Item:

    There are no files associated with this item.

    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