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Title: Quality quandaries: Accounting for measurement error in analyzing data

Abstract

Accounting for measurement error, whether the measurement error distribution parameters are known or not, is easily done using Bayesian inference and thereby improves analyses of data.

Authors:
 [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1483541
Report Number(s):
LA-UR-18-27310
Journal ID: ISSN 0898-2112
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Quality Engineering
Additional Journal Information:
Journal Name: Quality Engineering; Journal ID: ISSN 0898-2112
Publisher:
American Society for Quality Control
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING

Citation Formats

Hamada, M. S., and Weaver, B. P.. Quality quandaries: Accounting for measurement error in analyzing data. United States: N. p., 2018. Web. doi:10.1080/08982112.2018.1518530.
Hamada, M. S., & Weaver, B. P.. Quality quandaries: Accounting for measurement error in analyzing data. United States. doi:10.1080/08982112.2018.1518530.
Hamada, M. S., and Weaver, B. P.. Tue . "Quality quandaries: Accounting for measurement error in analyzing data". United States. doi:10.1080/08982112.2018.1518530.
@article{osti_1483541,
title = {Quality quandaries: Accounting for measurement error in analyzing data},
author = {Hamada, M. S. and Weaver, B. P.},
abstractNote = {Accounting for measurement error, whether the measurement error distribution parameters are known or not, is easily done using Bayesian inference and thereby improves analyses of data.},
doi = {10.1080/08982112.2018.1518530},
journal = {Quality Engineering},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 13 00:00:00 EST 2018},
month = {Tue Nov 13 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on November 13, 2019
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