Back to Results
First PageMeta Content
Nuclear weapons / Failure / Materials science / Reliability engineering / Stockpile stewardship / Quantification of margins and uncertainties / Systems engineering / National Nuclear Security Administration / Systems science / Nuclear technology / Lawrence Livermore National Laboratory / Survival analysis


Los Alamos National Laboratory Statistical Models for Understanding the Enduring Conventional and Nuclear Weapons Stockpile Aparna V. Huzurbazar, Christine Anderson-Cook, Todd Graves, Michael Hamada,
Add to Reading List

Document Date: 2009-04-09 12:50:53

Open Document

File Size: 495,02 KB

Share Result on Facebook

City

Bayesian reliability / /

Company

Sandia National Laboratories / Monte Carlo / LANL Statistical Sciences Group / /

Country

United States / /

/

Event

Business Partnership / /

IndustryTerm

software tool / software tools / /

Organization

Associate Directorate for Theory / Simulation / and Computation / Department of Defense / /

Person

Scott Vander Wiel / Michael Hamada / David Higdon / Geralyn Hemphill / Christine Anderson-Cook / Aparna V. Huzurbazar / Richard Klamann / Todd Graves / /

Position

Governor / /

ProgrammingLanguage

php / /

ProvinceOrState

New York / /

RadioStation

Core / /

Technology

RAM / Simulation / /

URL

www.lanl.gov/orgs/adtsc/publications.php / /

SocialTag