Some remarks on the average sample number of sequential and non-sequential tests

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 1982 Germany English Publisher:Springer Science and Business Media LLCJournal:Metrika, volume 29, pages 79-86 (issn: 0026-1335, eissn: 1435-926X,

Copyright policy )

Authors: Stadje, W.;

doi: 10.1007/bf01893367

Some remarks on the average sample number of sequential and non-sequential tests

- Summary
- Subjects
- Metrics

Abstract

We prove some inequalities concerning the (mean) number of observations needed to attain a prescribed error sum and apply them to some examples.

Country

Germany

Related Organizations

DigiZeitschriften
Germany
University of Göttingen
Germany

Keywords

n- decision problem, mean number of observations, General considerations in statistical decision theory, Article, Parametric hypothesis testing, 510.mathematics, Sequential statistical analysis, inequalities, prescribed error sum

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average