A statistical method for tuning a computer code to a data base

Computational Statistics and Data Analysis

Volumn 37, Issue 1, 2001, Pages 77-92

  Cox, Dennis D ^a   Park, Jeong Soo ^b   Singer, Clifford E ^c  

^a The NanoCarbon Center and Welch Institute for Advanced Materials   (United States)

^b Chonnam National University   (South Korea)

^c University of Illinois at Urbana Champaign   (United States)

Author keywords

Nonlinear regression; Parameter estimation; Statistical inference; Stochastic processes; Tuning computer models

Indexed keywords

ESTIMATION; FUSION REACTORS; PARAMETER ESTIMATION; STATISTICAL METHODS;

ACCURACY ASSESMENTS;

DATABASE SYSTEMS;

NUCLEAR POWER; STATISTICAL ANALYSIS;

EID: 0035963913     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(00)00057-8     Document Type: Article

References (19)

1. Circuit optimization via sequential computer experiments: Design of an output buffer
2. Experimental design and observations for large systems
3. Novel methodology for postexposure bake calibration and optimization based on electrical linewidth measurement and process metamodeling
4. Bayes linear strategies for matching hydrocarbon resevoir history
5. Model-based geostatistics
6. Calibration as estimation
7. Asymptotic properties of nonlinear least squares estimates
8. Bayesian calibration of complex computer models
9. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
10. Sensitivity analysis and parameter estimation in dynamic modeling of chemical kinetics
11. Design and analysis of computer experiments
12. Baldur: A one-dimensional plasma transport code