Statistical analysis of type I multiply left- censored samples from exponential distribution.

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F15%3A00525640" target="_blank" >RIV/60162694:G42__/15:00525640 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/15:PU109033
Result on the web
<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/00949655.2014.923886" target="_blank" >10.1080/00949655.2014.923886</a>

Result language
angličtina
Original language name
Statistical analysis of type I multiply left- censored samples from exponential distribution.
Original language description
Left-censored data with one or more detection limits often arise in environmental contexts. The computational procedure for calculation of maximum likelihood estimators of the parameter for Type I multiply left-censored data from underlying exponential distribution is suggested and used considering various numbers of detection limits. The expected Fisher information measure (FIM) is analytically determined and its performance is compared with sample (observed) FIM using simulations. Simulations are focused primarily on the properties of estimators for small sample sizes. Moreover, the simulations follow the possible applications of the results in the statistical analysis of real chemical data.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
KA - Militarism
OECD FORD branch
—

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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