%ADohner, Jeffrey Lynn
%B
%D2011%K99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; LEARNING; STATISTICS; MATHEMATICS
%MOSTI ID: 1029778
%PMedium: ED; Size: 28 p.
%TAn overview of component qualification using Bayesian statistics and energy methods.
%Uhttp://www.osti.gov/scitech//servlets/purl/1029778/
%XThe below overview is designed to give the reader a limited understanding of Bayesian and Maximum Likelihood (MLE) estimation; a basic understanding of some of the mathematical tools to evaluate the quality of an estimation; an introduction to energy methods and a limited discussion of damage potential. This discussion then goes on to presented a limited presentation as to how energy methods and Bayesian estimation are used together to qualify components. Example problems with solutions have been supplied as a learning aid. Bold letters are used to represent random variables. Un-bolded letter represent deterministic values. A concluding section presents a discussion of attributes and concerns.
%0Technical Report
%@SAND2011-6006; TRN: US201201%%188
United States10.2172/1029778TRN: US201201%%188Thu Jan 26 07:15:55 EST 2012SNLEnglish