Zugriffsnummer 44882
Dokumenttyp Zeitschriftenartikel Open Access Hybrid
Peer Review mit Peer Review
Sprache Englisch
Titel The variation of the posterior variance and Bayesiansample size determination
Autor(in); Institution
Martin, Jörg; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Elster, Clemens; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Quelle/Jahr Statistical Methods and Applications: 108 (2021), 3, 21 S.
ISSN 1618-2510 (PRINT) ; 1613-981X (ONLINE)
DOI
Verlag Berlin: Springer
Zusammenfassung We consider Bayesian sample size determination using a criterion that utilizes the first two moments of the posterior variance. We study the resulting sample size in dependence on the chosen prior and explore the success rate for bounding the posterior variance below a prescribed limit under the true sampling distribution. Compared with sample size determination based on the average of the posterior variance the proposed criterion leads to an increase in sample size and significantly improved success rates. Generic asymptotic properties are proven, such as an asymptotic expression for the sample size and a sort of phase transition. Our study is illustrated using two real world datasets with Poisson and normally distributed data. Based on our results some recommendations are given.
Kostenfreier Zugang Open Access Hybrid
Rechteinformation CC BY 4.0 ; Creative Commons Attribution 4.0 License
Themenbereich der Metrologie Mathematik und metrologische Informationstechnik

Zitierung

Martin, J. & Elster, C. (2021). The variation of the posterior variance and Bayesiansample size determination. Statistical Methods and Applications, 108(3), 21 S. https://doi.org/10.1007/s10260-020-00545-3

Exportieren

PTB-Publica Menü

Sprache wechseln: uk flag