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標題: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
語言英文
ISSN
期刊性質國外
收錄於Scopus;
產學合作
通訊作者
審稿制度
國別日本
公開徵稿
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