Artikel
Interval shrinkage estimation of the parameter of exponential distribution in the presence of outliers under loss functions
In this paper, we studied estimators based on an interval shrinkage with equal weights point shrinkage estimators for all individual target points ¯θ ∈ (θ0,θ1) for exponentially distributed observations in the presence of outliers drawn from a uniform distribution. Estimators obtained from both shrinkage and interval shrinkage were compared, showing that the estimators obtained via the interval shrinkage method perform better. Symmetric and asymmetric loss functions were also used to calculate the estimators. Finally, a numerical study and illustrative examples were provided to describe the results.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Statistics in Transition new series (SiTns) ; ISSN: 2450-0291 ; Volume: 23 ; Year: 2022 ; Issue: 3 ; Pages: 65-78 ; Warsaw: Sciendo
- Thema
-
interval information
mean square error
shrinkage estimator
exponential distribution
uniform distribution
outliers
Linex loss function
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Nasiri, Parviz
- Ereignis
-
Veröffentlichung
- (wer)
-
Sciendo
- (wo)
-
Warsaw
- (wann)
-
2022
- DOI
-
doi:10.2478/stattrans-2022-0030
- Handle
- Letzte Aktualisierung
-
02.03.2025, 04:45 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Nasiri, Parviz
- Sciendo
Entstanden
- 2022
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