Parameter estimation for Burr type XII distribution with differential evolution and quasi-Newton approaches based on progressively Type I interval-censored samples
學年 106
學期 1
出版（發表）日期 2017-09-01
作品名稱 Parameter estimation for Burr type XII distribution with differential evolution and quasi-Newton approaches based on progressively Type I interval-censored samples
作品名稱（其他語言）
著者 J Zhu; H Xin; J Sun; Y-Y Fan; C Zheng; T-R Tsai
單位
出版者
著錄名稱、卷期、頁數 ICIC Express Letters B 8(9), p.1299-1306
摘要 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].
關鍵字
語言 en
ISSN
期刊性質 國外
收錄於 Scopus
產學合作
通訊作者
審稿制度 是
國別 JPN
公開徵稿
出版型式 ,電子版
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