Markov chain Monte Carlo methods for parameter estimation of the modified Weibull distribution

Markov chain Monte Carlo methods for parameter estimation of the modified Weibull distribution

Journal of Applied Statistics

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Bibliographic Details
Main Authors: Jiang, H., Xie, M., Tang, L.C.
Other Authors: INDUSTRIAL & SYSTEMS ENGINEERING
Format: Article
Published: 2014
Subjects:
Adaptive rejection sampling
Gibbs sampler
Markov chain Monte Carlo
Maximum likelihood
Modified Weibull distribution
Probability interval
Online Access:http://scholarbank.nus.edu.sg/handle/10635/87067
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Institution: National University of Singapore

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