Sample size choice for reliability verification in strength‐stress models

B. Reiser; I. Guttman

doi:10.2307/3315521

Sample size choice for reliability verification in strength‐stress models

B. Reiser, I. Guttman

Department of Statistics

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

Abstract

This paper discusses the choice of sample size for experiments concerned with inference on R = P(Y < X), where X and Y are normal variates, in an acceptance‐sampling‐theory framework. A conservative approach is derived, and the properties of this solution examined by simulation.

Original language	English
Pages (from-to)	253-259
Number of pages	7
Journal	Canadian Journal of Statistics
Volume	17
Issue number	3
DOIs	https://doi.org/10.2307/3315521
State	Published - Sep 1989

Keywords

Acceptance sampling
reliability
sample size
strength‐stress models

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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title = "Sample size choice for reliability verification in strength‐stress models",

abstract = "This paper discusses the choice of sample size for experiments concerned with inference on R = P(Y < X), where X and Y are normal variates, in an acceptance‐sampling‐theory framework. A conservative approach is derived, and the properties of this solution examined by simulation.",

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Sample size choice for reliability verification in strength‐stress models

Abstract

Keywords

ASJC Scopus subject areas

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