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FUSEK, M. MICHÁLEK, J.
Originální název
On the confidence intervals for mean of left-censored Weibull distribution
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Left-censored data with two detection limits occur frequently in many application areas, especially in environmental sciences. This paper suggests a computational procedure for calculation of confidence intervals for the expected value of type I doubly left-censored Weibull samples. Three methods of confidence bounds construction are proposed, specifically the maximum likelihood method, and parametric and non-parametric bootstrap. Performances of the particular methods are assessed using simulations. It is shown that bootstrap-based confidence intervals have less satisfactory coverage properties for small sample sizes and high level of censoring.
Klíčová slova
Bootstrap, doubly left-censored data, expected value, Fisher information matrix, maximum likelihood.
Autoři
FUSEK, M.; MICHÁLEK, J.
Vydáno
8. 6. 2016
Místo
Brno
ISBN
978-80-214-5365-4
Kniha
MENDEL 2016, 22nd International Conference on Soft Computing
ISSN
1803-3814
Periodikum
Mendel Journal series
Číslo
22
Stát
Česká republika
Strany od
249
Strany do
254
Strany počet
6
BibTex
@inproceedings{BUT125961, author="Michal {Fusek} and Jaroslav {Michálek}", title="On the confidence intervals for mean of left-censored Weibull distribution", booktitle="MENDEL 2016, 22nd International Conference on Soft Computing", year="2016", journal="Mendel Journal series", number="22", pages="249--254", address="Brno", isbn="978-80-214-5365-4", issn="1803-3814" }