Asymptotic Tests for Multiply Left-Censored Samples from Weibull Distribution

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU109448" target="_blank" >RIV/00216305:26220/14:PU109448 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G42__/14:00525599
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Asymptotic Tests for Multiply Left-Censored Samples from Weibull Distribution
Original language description
Left-censored data with one or more detection limits occur frequently in many application areas. This paper suggests the computational procedure for calculation of maximum likelihood estimates of the parameters and estimates of their variances for type Imultiply left-censored Weibull samples. Estimates of the variances of estimated parameters are based on the analytically determined expected Fisher information matrix. Moreover, using the asymptotic properties of maximum likelihood estimates and tests with nuisance parameters (Lagrange multiplier test, likelihood ratio test, Wald test), methods for comparison of two independent type I multiply left-censored Weibull samples are proposed. The power functions of particular tests are compared by simulations. The methods derived in this paper can be used in real environmental or chemical data analysis.
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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
MENDEL 2014, 20th International Conference on Soft Computing
ISBN
978-80-214-4984-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
317-322
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Brno University of Technology
Event date
Jun 25, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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