Publication Type

Journal Article

Publication Date

5-2017

Abstract

A general procedure is developed for bias-correcting the maximum likelihood estimators (MLEs) of the parameters of Weibull regression model with either complete or right-censored data. Following the bias correction, variance corrections and hence improved t-ratios for model parameters are presented. Potentially improved t-ratios for other reliability-related quantities are also discussed. Simulation results show that the proposed method is effective in correcting the bias of the MLEs, and the resulted t-ratios generally improve over the regular t-ratios.

Keywords

Bias correction, variance correction, bootstrap, improved t-ratios, stochastic expansion, right censoring

Discipline

Econometrics

Research Areas

Econometrics

Publication

Journal of Statistical Computation and Simulation

Volume

87

Issue

12

First Page

2349

Last Page

2371

ISSN

0094-9655

Identifier

10.1080/00949655.2017.1331441

Publisher

Taylor & Francis: STM, Behavioural Science and Public Health Titles

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org./10.1080/00949655.2017.1331441

Included in

Econometrics Commons

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