skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Quality Quandaries: Uses of Simulation

Abstract

This article provides a number of examples that shows how useful simulation is in addressing many problems encountered in applied statistics.

Authors:
 [1]; ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Statistical Sciences Group
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1398928
Report Number(s):
LA-UR-17-27115
Journal ID: ISSN 0898-2112
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Quality Engineering
Additional Journal Information:
Journal Volume: 30; Journal Issue: 1; Journal ID: ISSN 0898-2112
Publisher:
American Society for Quality Control
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Hamada, M. S., and Weaver, B. P. Quality Quandaries: Uses of Simulation. United States: N. p., 2017. Web. doi:10.1080/08982112.2017.1366513.
Hamada, M. S., & Weaver, B. P. Quality Quandaries: Uses of Simulation. United States. doi:10.1080/08982112.2017.1366513.
Hamada, M. S., and Weaver, B. P. Wed . "Quality Quandaries: Uses of Simulation". United States. doi:10.1080/08982112.2017.1366513. https://www.osti.gov/servlets/purl/1398928.
@article{osti_1398928,
title = {Quality Quandaries: Uses of Simulation},
author = {Hamada, M. S. and Weaver, B. P.},
abstractNote = {This article provides a number of examples that shows how useful simulation is in addressing many problems encountered in applied statistics.},
doi = {10.1080/08982112.2017.1366513},
journal = {Quality Engineering},
number = 1,
volume = 30,
place = {United States},
year = {2017},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Save / Share:

Works referenced in this record:

Using Genetic Algorithms to Design Experiments: A Review: Using Genetic Algorithms to Design Experiments: A Review
journal, January 2014

  • Lin, C. Devon; Anderson-Cook, Christine M.; Hamada, Michael S.
  • Quality and Reliability Engineering International, Vol. 31, Issue 2
  • DOI: 10.1002/qre.1591

Estimating a Proportion from Repeated Sampling of a Growing Population
journal, April 2013


Optimal inspection of a finite population
journal, August 2016


Estimating a Service-Life Distribution Based on Production Counts and a Failure Database
journal, April 2017