Publication detail
Statistical Inference of Doubly Left-Censored Samples from Weibull Distribution
FUSEK, M. MICHÁLEK, J.
English title
Statistical Inference of Doubly Left-Censored Samples from Weibull Distribution
Type
Paper in proceedings (conference paper)
Language
en
Original abstract
When analyzing environmental or chemical data, we often have to deal with left-censored observations with one or more detection limits. Estimators of the parameters are derived for Type I doubly left-censored data having two detection limits and assuming an underlying Weibull distribution. Maximum likelihood estimators of the parameters are given and examined considering various censoring schemes. The expected Fisher information matrix (FIM) is analytically determined and compared with the sample FIM using simulations. Simulations are focused primarily on the properties of estimates for small sample sizes.
Keywords in English
doubly left-censored, Weibull distribution, Fisher information, Type I censoring, maximum likelihood estimator
Released
2012-11-01
Publisher
Publishing office of the University of Defence
Location
Brno
ISBN
978-80-7231-897-1
Book
XX International Conference PDMU-2012 Problems of Decision Making under Uncertainties Proceedings – Applied Papers
Pages from–to
31–40
Pages count
10
BIBTEX
@inproceedings{BUT95762,
author="Michal {Fusek} and Jaroslav {Michálek}",
title="Statistical Inference of Doubly Left-Censored Samples from Weibull Distribution",
booktitle="XX International Conference PDMU-2012 Problems of Decision Making under Uncertainties Proceedings - Applied Papers",
year="2012",
pages="31--40",
publisher="Publishing office of the University of Defence",
address="Brno",
isbn="978-80-7231-897-1"
}