Towards an uniformly most powerful binomial test

Sascha Wörz () and Heinz Bernhardt ()
Additional contact information
Sascha Wörz: Technical University of Munich
Heinz Bernhardt: Technical University of Munich

Statistical Papers, 2020, vol. 61, issue 5, No 16, 2149-2156

Abstract: Abstract In this paper, an approach towards an uniformly most powerful binomial test is presented. It generalizes the well-known binomial test in that way that it is an uniformly most powerful size- $$\alpha $$ α test with $$\alpha $$ α the significance level. An illustrative statistical example both clarifies the theoretical approach towards such a test and shows the usefulness of our approach in quality management.

Keywords: Uniformly most powerful size- $$\alpha $$ α binomial test with significance level $$\alpha $$ α; Binomial test; 62F25; 62F03; 62G15; 62G10 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00362-018-1029-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stpapr:v:61:y:2020:i:5:d:10.1007_s00362-018-1029-6

Ordering information: This journal article can be ordered from
http://www.springer. ... business/journal/362

DOI: 10.1007/s00362-018-1029-6

Access Statistics for this article

Statistical Papers is currently edited by C. Müller, W. Krämer and W.G. Müller

More articles in Statistical Papers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().