Confidence interval estimation of the common mean of several gamma populations.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2022
2022
Historique:
received:
20
08
2021
accepted:
01
06
2022
entrez:
17
6
2022
pubmed:
18
6
2022
medline:
22
6
2022
Statut:
epublish
Résumé
Gamma distributions are widely used in applied fields due to its flexibility of accommodating right-skewed data. Although inference methods for a single gamma mean have been well studied, research on the common mean of several gamma populations are sparse. This paper addresses the problem of confidence interval estimation of the common mean of several gamma populations using the concept of generalized inference and the method of variance estimates recovery (MOVER). Simulation studies demonstrate that several proposed approaches can provide confidence intervals with satisfying coverage probabilities even at small sample sizes. The proposed methods are illustrated using two examples.
Identifiants
pubmed: 35714130
doi: 10.1371/journal.pone.0269971
pii: PONE-D-21-27089
pmc: PMC9205481
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0269971Commentaires et corrections
Type : ErratumIn
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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