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FUSEK, M.; MICHÁLEK, J.
Originální název
Statistical inference for type I multiply left-censored samples from Weibull distribution
Anglický název
Druh
Článek WoS
Originální abstrakt
Left-censored data with one or more detection limits occur frequently in many application areas. In this paper, the computational procedure for calculation of maximum likelihood estimates of the parameters for type I multiply left-censored data from underlying Weibull distribution is suggested and used considering various numbers of detection limits. The expected Fisher information matrix is analytically determined and its performance is compared with sample (observed) Fisher information matrix using simulations. Simulations are focused primarily on the properties of estimators for small sample sizes. Real data illustration is included.
Anglický abstrakt
Klíčová slova
Fisher information matrix, maximum likelihood estimator, multiply left-censored sample, type I censoring, Weibull distribution
Klíčová slova v angličtině
Autoři
Rok RIV
2020
Vydáno
27.07.2019
ISSN
1060-0396
Periodikum
CYBERNETICS AND SYSTEMS ANALYSIS
Svazek
55
Číslo
4
Stát
Ukrajina
Strany od
590
Strany do
604
Strany počet
15
URL
https://link.springer.com/article/10.1007/s10559-019-00168-x
BibTex
@article{BUT157661, author="Michal {Fusek} and Jaroslav {Michálek}", title="Statistical inference for type I multiply left-censored samples from Weibull distribution", journal="CYBERNETICS AND SYSTEMS ANALYSIS", year="2019", volume="55", number="4", pages="590--604", doi="10.1007/s10559-019-00168-x", issn="1060-0396", url="https://link.springer.com/article/10.1007/s10559-019-00168-x" }