Methods for planning a statistical POD study | Zendy

Yew-Meng Koh | Zendy; William Q. Meeker | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Methods for planning a statistical POD study

Author(s) -

Yew-Meng Koh,

William Q. Meeker

Publication year - 2013

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.4789249

Subject(s) - statistician , computer science , sample (material) , sample size determination , plan (archaeology) , statistical analysis , reliability engineering , data mining , artificial intelligence , statistics , engineering , mathematics , chemistry , archaeology , chromatography , history

The most common question asked of a statistician is "How large should my sample be?" In NDE applications, the most common questions asked of a statistician are "How many specimens do I need and what should be the distribution of flaw sizes?" Although some useful general guidelines exist (e.g. in MIK-HDBK-1823) it is possible to use statistical tools to provide more definitive guidelines and to allow comparison among different proposed study plans. One can assess the performance of a proposed POD study plan by obtaining computable expressions for estimation precision. This allows for a quick and easy assessment of tradeoffs and comparison of various alternative plans. We use a signal-response dataset obtained from MIK-HDBK-1823 to illustrate the ideas.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research