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Title: Quality quandaries: A gentle introduction to Bayesian statistics

Journal Article · · Quality Engineering
 [1];  [1]
  1. 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
Citation Metrics:
Cited by: 10 works
Citation information provided by
Web of Science

References (2)

Time Series Analysis With Applications in R book January 2008
Bayesian Data Analysis book November 2013

Cited By (2)

Analyzing degradation data with a random effects spline regression model journal March 2017
Quality quandaries: Predicting a population of curves journal August 2017