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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Austrian Journal of Statistics

ISSN

1026-597X

e-ISSN

—

Svazek periodika

52

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

11

Strana od-do

51-61

Kód UT WoS článku

000852094800001

EID výsledku v databázi Scopus

2-s2.0-85150349046