Publication Type
Journal Article
Version
submittedVersion
Publication Date
10-2015
Abstract
A general method for correcting the bias of the maximum likelihood estimator (MLE) of the common shape parameter of Weibull populations, allowing a general right censorship, is proposed in this paper. Extensive simulation results show that the new method is very effective in correcting the bias of the MLE, regardless of censoring mechanism, sample size, censoring proportion and number of populations involved. The method can be extended to more complicated Weibull models.
Keywords
Bias correction, Bootstrap, Right censoring, Stochastic expansion, Weibull models
Discipline
Econometrics
Research Areas
Econometrics
Publication
Journal of Statistical Computation and Simulation
Volume
85
Issue
15
First Page
3017
Last Page
3046
ISSN
0094-9655
Identifier
10.1080/00949655.2014.949714
Publisher
Taylor & Francis
Citation
SHEN, Yan and YANG, Zhenlin.
Bias-correction for Weibull Common Shape Estimation. (2015). Journal of Statistical Computation and Simulation. 85, (15), 3017-3046.
Available at: https://ink.library.smu.edu.sg/soe_research/1574
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1080/00949655.2014.949714