Choice of sample size for testing the p(x > y)

B. Reiser; D. Faraggi

doi:10.1080/03610929208830798

Choice of sample size for testing the p(x > y)

B. Reiser, D. Faraggi

Department of Statistics

Research output: Contribution to journal › Article › peer-review

Abstract

This paper consider the choice of sample size for experiments concerned with inference on R = P(Y > X) where X and Y are random variables, in an acceptance sampling theory framework. The following cases are considered: X and Y independent exponential variates, X and Y dependent normal variates, X and Y independent normal variables, and the nonparametric case.

Original language	English
Pages (from-to)	559-569
Number of pages	11
Journal	Communications in Statistics - Theory and Methods
Volume	21
Issue number	3
DOIs	https://doi.org/10.1080/03610929208830798
State	Published - 1 Jan 1992

Bibliographical note

Funding Information:
The authors thank Boon Ping Chew for programming assistance and a referee for his helpful comments. I. Guttman was supported by a grant from NSERC, through Grant NoA8743. Part of this work was conducted while B. Reiser was visiting the Department of Statistics, Temple University and their kind hospitality is acknowledged.

Keywords

acceptance sampling
reliability
sample size
stress-strength models

ASJC Scopus subject areas

Statistics and Probability

Access to Document

10.1080/03610929208830798

Cite this

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N2 - This paper consider the choice of sample size for experiments concerned with inference on R = P(Y > X) where X and Y are random variables, in an acceptance sampling theory framework. The following cases are considered: X and Y independent exponential variates, X and Y dependent normal variates, X and Y independent normal variables, and the nonparametric case.

AB - This paper consider the choice of sample size for experiments concerned with inference on R = P(Y > X) where X and Y are random variables, in an acceptance sampling theory framework. The following cases are considered: X and Y independent exponential variates, X and Y dependent normal variates, X and Y independent normal variables, and the nonparametric case.

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KW - stress-strength models

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Choice of sample size for testing the p(x > y)

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this