Detail publikace

Statistical Analysis of Doubly Left-Censored Samples from Exponential Distribution

FUSEK, M. MICHÁLEK, J.

Originální název

Statistical Analysis of Doubly Left-Censored Samples from Exponential Distribution

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

When analyzing environmental or chemical data, we often have to deal with left-censored observations with one or more detection limits. Estimators of the parameters are derived for Type I doubly left-censored data having two detection limits and assuming an underlying exponential distribution. Maximum likelihood estimate of the parameter is given and examined considering various number of censored observations. Theoretical Fisher information is analytically determined and compared with empirical Fisher information using simulations. Simulations are focused primarily on the properties of estimates for small sample size.

Klíčová slova

doubly left-censored, likelihood function, maximum likelihood estimates, exponential distribution, Fisher information, Type I censoring

Autoři

FUSEK, M.; MICHÁLEK, J.

Rok RIV

2012

Vydáno

30. 6. 2012

Nakladatel

Brno University of Technology

Místo

Brno, Czech Republic

ISBN

978-80-214-4540-6

Kniha

MENDEL 2012, 18th International Conference on Soft Computing

Edice

1

Číslo edice

1

ISSN

1803-3814

Periodikum

Mendel Journal series

Ročník

2012

Stát

Česká republika

Strany od

564

Strany do

569

Strany počet

6

BibTex

@inproceedings{BUT93071,
  author="Michal {Fusek} and Jaroslav {Michálek}",
  title="Statistical Analysis of Doubly Left-Censored Samples from Exponential Distribution",
  booktitle="MENDEL 2012, 18th International Conference on Soft Computing",
  year="2012",
  series="1",
  journal="Mendel Journal series",
  volume="2012",
  number="1",
  pages="564--569",
  publisher="Brno University of Technology",
  address="Brno, Czech Republic",
  isbn="978-80-214-4540-6",
  issn="1803-3814"
}