Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
Use of kriging models to approximate deterministic computer models
Jay D. Martin
, Timothy W. Simpson
Applied Research Laboratory (ARL)
Mechanical Engineering
Institute for Computational and Data Sciences (ICDS)
Materials Research Institute (MRI)
Research output
:
Contribution to journal
›
Article
›
peer-review
753
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Use of kriging models to approximate deterministic computer models'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Computer Model
100%
Kriging Model
100%
Effective Method
12%
Metamodel
12%
Assessment Method
12%
Maximum Likelihood Estimation
12%
Quality Model
12%
Computationally Efficient Algorithms
12%
Complex Forms
12%
Corrected Akaike Information Criterion
12%
Validation Parameters
12%
Parameter Estimation Method
12%
Criteria Assessment
12%
Engineering
Kriging Model
100%
Model Parameter
25%
Past Decade
12%
Parameter Estimation
12%
Maximum Likelihood Estimation
12%
Akaike Information Criterion
12%
Earth and Planetary Sciences
Kriging
100%
Parameter Estimation
12%
Evaluation Method
12%
Estimation Method
12%