Statistical thinking for adding more sensors in a monitoring application

Hamada, Michael Scott; Weaver, Brian Phillip

doi:10.1080/08982112.2019.1628269

Title: Statistical thinking for adding more sensors in a monitoring application

Abstract

This article illustrates the use of statistical thinking to assess the impact of adding another sensor in a monitoring application, such as detecting an illegal diversion of nuclear material in a reprocessing plant.

Authors:

Hamada, Michael Scott ^[1];

^[1]

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

Publication Date:: Wed Aug 07 00:00:00 EDT 2019

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

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

OSTI Identifier:: 1570624

Report Number(s):: LA-UR-19-22998
Journal ID: ISSN 0898-2112; TRN: US2100279

Grant/Contract Number:: 89233218CNA000001

Resource Type:: Accepted Manuscript

Journal Name:: Quality Engineering

Additional Journal Information:: Journal Volume: 32; Journal Issue: 1; Journal ID: ISSN 0898-2112

Publisher:: American Society for Quality Control

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING

Citation Formats


                    Hamada, Michael Scott, and Weaver, Brian Phillip. Statistical thinking for adding more sensors in a monitoring application.  United States: N. p., 2019. 
Web.  doi:10.1080/08982112.2019.1628269.

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                    Hamada, Michael Scott, & Weaver, Brian Phillip. Statistical thinking for adding more sensors in a monitoring application.  United States.  https://doi.org/10.1080/08982112.2019.1628269

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                    Hamada, Michael Scott, and Weaver, Brian Phillip. Wed .  
"Statistical thinking for adding more sensors in a monitoring application".  United States.  https://doi.org/10.1080/08982112.2019.1628269.  https://www.osti.gov/servlets/purl/1570624.

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@article{osti_1570624,

  title        = {Statistical thinking for adding more sensors in a monitoring application},

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

  abstractNote = {This article illustrates the use of statistical thinking to assess the impact of adding another sensor in a monitoring application, such as detecting an illegal diversion of nuclear material in a reprocessing plant.},

  doi          = {10.1080/08982112.2019.1628269},

  journal      = {Quality Engineering},

  number       = 1,

  volume       = 32,

  place        = {United States},

  year         = {Wed Aug 07 00:00:00 EDT 2019},

  month        = {Wed Aug 07 00:00:00 EDT 2019}

}

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Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (DOE)

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https://doi.org/10.1080/08982112.2019.1628269

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Figures / Tables:

Figure 1: A receiver operating characteristic (ROC) curve.

All figures and tables (8 total)

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Works referenced in this record:

The Generalization of Student's Ratio
journal, August 1931

Hotelling, Harold
The Annals of Mathematical Statistics, Vol. 2, Issue 3
DOI: 10.1214/aoms/1177732979

Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards
journal, January 2015

Burr, Tom; Hamada, Michael; Ticknor, Larry
Energies, Vol. 8, Issue 1
DOI: 10.3390/en8010501

An introduction to ROC analysis
journal, June 2006

Fawcett, Tom
Pattern Recognition Letters, Vol. 27, Issue 8
DOI: 10.1016/j.patrec.2005.10.010

Figures / Tables found in this record:

Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.

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Similar Records

Title: Statistical thinking for adding more sensors in a monitoring application

Abstract

Citation Formats

Figures / Tables:

The Generalization of Student's Ratio journal, August 1931

Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards journal, January 2015

An introduction to ROC analysis journal, June 2006

The Generalization of Student's Ratio
journal, August 1931

Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards
journal, January 2015

An introduction to ROC analysis
journal, June 2006