Sample size choice for reliability verification in strength‐stress models | Zendy

Reiser B. | Zendy; Guttman I. | Zendy

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Sample size choice for reliability verification in strength‐stress models

Author(s) -

Reiser B.,

Guttman I.

Publication year - 1989

Publication title -

canadian journal of statistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.804

H-Index - 51

eISSN - 1708-945X

pISSN - 0319-5724

DOI - 10.2307/3315521

Subject(s) - sample size determination , reliability (semiconductor) , inference , sample (material) , stress (linguistics) , statistics , sampling (signal processing) , mathematics , computer science , reliability engineering , econometrics , engineering , artificial intelligence , physics , thermodynamics , power (physics) , linguistics , philosophy , filter (signal processing) , computer vision

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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