Statistical power of goodness-of-fit tests for type I left-censored data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU142399" target="_blank" >RIV/00216305:26220/23:PU142399 - isvavai.cz</a>
Result on the web
<a href="https://www.ajs.or.at/index.php/ajs/article/view/1348" target="_blank" >https://www.ajs.or.at/index.php/ajs/article/view/1348</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17713/ajs.v52i1.1348" target="_blank" >10.17713/ajs.v52i1.1348</a>

Result language
angličtina
Original language name
Statistical power of goodness-of-fit tests for type I left-censored data
Original language description
Type I doubly left-censored data often arise in environmental studies. In this paper, the power of the most frequently used goodness-of-fit tests (Kolmogorov-Smirnov, Cramér-von Mises, Anderson-Darling) is studied considering various sample sizes and degrees of censoring. Attention is paid to testing of the composite hypothesis that the data has a specific distribution with unknown parameters, which are estimated using the maximum likelihood method. Performance of the tests is assessed by means of Monte Carlo simulations for several distributions, specifically the Weibull, lognormal and gamma distributions, which are among the most frequently used distributions for modelling of environmental data. Finally, the tests are used for identification of the distribution of musk concentrations if fish tissue.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability

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

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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