On the confidence intervals for mean of left- censored Weibull distribution

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F16%3A00533025" target="_blank" >RIV/60162694:G42__/16:00533025 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/16:PU119325
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
On the confidence intervals for mean of left- censored Weibull distribution
Original language description
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.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
MENDEL 2016, 22nd International Conference on Soft Computing. Mendel Journal series.
ISBN
978-80-214-5365-4
ISSN
1803-3814
e-ISSN
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Number of pages
6
Pages from-to
249-254
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 8, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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