Statistical Analysis of Doubly Left-Censored Samples from Exponential Distribution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F12%3APU99184" target="_blank" >RIV/00216305:26210/12:PU99184 - 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 Analysis of Doubly Left-Censored Samples from Exponential 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 exponential distribution. Maximum likelihood estimate of the parameter is given and examined considering various number of censored observations. Theoretical Fisher information is analytically determined and compared with empirical Fisherinformation using simulations. Simulations are focused primarily on the properties of estimates for small sample size.
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
MENDEL 2012, 18th International Conference on Soft Computing
ISBN
978-80-214-4540-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
564-569
Publisher name
Brno University of Technology
Place of publication
Brno, Czech Republic
Event location
Brno University of Technology
Event date
Jun 27, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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