Quality quandaries: Accounting for measurement error in analyzing data
Journal Article
·
· Quality Engineering
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
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.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- 89233218CNA000001
- OSTI ID:
- 1483541
- Report Number(s):
- LA-UR--18-27310
- Journal Information:
- Quality Engineering, Journal Name: Quality Engineering Journal Issue: 2 Vol. 31; ISSN 0898-2112
- Publisher:
- American Society for Quality ControlCopyright Statement
- Country of Publication:
- United States
- Language:
- English
The Analysis of Misclassified Ordinal Data from Designed Experiments
|
journal | October 2014 |
Assessing Production Quality with Nonstandard Measurement Errors
|
journal | April 2004 |
A Bayesian Approach to the Analysis of Gauge R&R Data
|
journal | October 2012 |
Quality quandaries: A gentle introduction to Bayesian statistics
|
journal | June 2016 |
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
|
journal | September 2006 |
Similar Records
Analyzing count data with measurement error
Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data-driven error model
Case study: Accounting for response measurement error in fitting a regression model
Journal Article
·
Sun Feb 06 23:00:00 EST 2022
· Quality and Reliability Engineering International
·
OSTI ID:1865025
Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data-driven error model
Journal Article
·
Mon May 08 00:00:00 EDT 2017
· Water Resources Research
·
OSTI ID:1532997
Case study: Accounting for response measurement error in fitting a regression model
Journal Article
·
Mon Jun 14 00:00:00 EDT 2021
· Quality Engineering
·
OSTI ID:1830589