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Statistical Methods for Material Characterization and Qualification
Author(s) -
John D. Hunn,
Andrew K. Kercher
Publication year - 2005
Language(s) - English
Resource type - Reports
DOI - 10.2172/886013
Subject(s) - computer science , statistical hypothesis testing , statistical analysis , quality (philosophy) , acceptance testing , data mining , statistics , mathematics , software engineering , philosophy , epistemology
This document describes a suite of statistical methods that can be used to infer lot parameters from the data obtained from inspection/testing of random samples taken from that lot. Some of these methods will be needed to perform the statistical acceptance tests required by the Advanced Gas Reactor Fuel Development and Qualification (AGR) Program. Special focus has been placed on proper interpretation of acceptance criteria and unambiguous methods of reporting the statistical results. In addition, modified statistical methods are described that can provide valuable measures of quality for different lots of material. This document has been written for use as a reference and a guide for performing these statistical calculations. Examples of each method are provided. Uncertainty analysis (e.g., measurement uncertainty due to instrumental bias) is not included in this document, but should be considered when reporting statistical results

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