Quality quandaries: A gentle introduction to Bayesian statistics

doi:10.1080/08982112.2016.1167220

Title: Quality quandaries: A gentle introduction to Bayesian statistics

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Abstract

Here, we provide a gentle introduction to this powerful analysis method that can handle complex data and modeling situations.

Authors:

Weaver, Brian Phillip ^[1]; Hamada, Michael Scott ^[1]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Publication Date:: 2016-10-01

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1291231

Report Number(s):: LA-UR-16-21511
Journal ID: ISSN 0898-2112

Grant/Contract Number:: AC52-06NA25396

Resource Type:: Accepted Manuscript

Journal Name:: Quality Engineering

Additional Journal Information:: Journal Volume: 28; Journal Issue: 4; Journal ID: ISSN 0898-2112

Publisher:: American Society for Quality Control

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Weaver, Brian Phillip, and Hamada, Michael Scott. Quality quandaries: A gentle introduction to Bayesian statistics.  United States: N. p., 2016. 
        Web.  doi:10.1080/08982112.2016.1167220.

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                    Weaver, Brian Phillip, & Hamada, Michael Scott. Quality quandaries: A gentle introduction to Bayesian statistics.  United States.  doi:10.1080/08982112.2016.1167220.

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                    Weaver, Brian Phillip, and Hamada, Michael Scott. Sat .  
        "Quality quandaries: A gentle introduction to Bayesian statistics".  United States.  doi:10.1080/08982112.2016.1167220.  https://www.osti.gov/servlets/purl/1291231.

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@article{osti_1291231,

  title        = {Quality quandaries: A gentle introduction to Bayesian statistics},

  author       = {Weaver, Brian Phillip and Hamada, Michael Scott},

  abstractNote = {Here, we provide a gentle introduction to this powerful analysis method that can handle complex data and modeling situations.},

  doi          = {10.1080/08982112.2016.1167220},

  journal      = {Quality Engineering},

  number       = 4,

  volume       = 28,

  place        = {United States},

  year         = {2016},

  month        = {10}

}

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DOI: 10.1080/08982112.2016.1167220

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