Statistical Inference of Doubly Left-Censored Samples from Weibull Distribution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F12%3APU100986" target="_blank" >RIV/00216305:26210/12:PU100986 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Statistical Inference of Doubly Left-Censored Samples from Weibull Distribution
Original language description
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 assumingan 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
XX International Conference PDMU-2012 Problems of Decision Making under Uncertainties Proceedings - Applied Papers
ISBN
978-80-7231-897-1
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
31-40
Publisher name
Publishing office of the University of Defence
Place of publication
Brno
Event location
Brno
Event date
Sep 17, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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