Quality quandaries: A gentle introduction to Bayesian statistics
Journal Article
·
· Quality Engineering
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Here, we provide a gentle introduction to this powerful analysis method that can handle complex data and modeling situations.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1291231
- Report Number(s):
- LA-UR-16-21511
- Journal Information:
- Quality Engineering, Vol. 28, Issue 4; ISSN 0898-2112
- Publisher:
- American Society for Quality ControlCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Cited by: 10 works
Citation information provided by
Web of Science
Web of Science
Time Series Analysis With Applications in R
|
book | January 2008 |
Bayesian Data Analysis | book | November 2013 |
Analyzing degradation data with a random effects spline regression model
|
journal | March 2017 |
Quality quandaries: Predicting a population of curves
|
journal | August 2017 |
Similar Records
Quality quandaries: Statistical detective work to understand the isotopic ratios in Drum 68660 and the radioactive release at WIPP
Sensitivity Analysis and Emulation for Functional Data using Bayesian Adaptive Splines
Quality quandaries: Experiencing the practice of statistics with simple experiments
Journal Article
·
Wed Aug 09 00:00:00 EDT 2017
· Quality Engineering
·
OSTI ID:1291231
Sensitivity Analysis and Emulation for Functional Data using Bayesian Adaptive Splines
Journal Article
·
Sun Apr 01 00:00:00 EDT 2018
· Statistica Sinica
·
OSTI ID:1291231
+1 more
Quality quandaries: Experiencing the practice of statistics with simple experiments
Journal Article
·
Thu Oct 04 00:00:00 EDT 2018
· Quality Engineering
·
OSTI ID:1291231
+1 more