An overview of component qualification using Bayesian statistics and energy methods.

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Description

The 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 ... continued below

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28 p.

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Dohner, Jeffrey Lynn September 1, 2011.

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Description

The 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.

Physical Description

28 p.

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  • Report No.: SAND2011-6006
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/1029778 | External Link
  • Office of Scientific & Technical Information Report Number: 1029778
  • Archival Resource Key: ark:/67531/metadc836729

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Office of Scientific & Technical Information Technical Reports

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  • September 1, 2011

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

Description Last Updated

  • Dec. 9, 2016, 8:16 p.m.

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Dohner, Jeffrey Lynn. An overview of component qualification using Bayesian statistics and energy methods., report, September 1, 2011; United States. (digital.library.unt.edu/ark:/67531/metadc836729/: accessed October 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.