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Federal
NIST Statistical Reference Datasets - SRD 140
National Institute of Standards and Technology —
The purpose of this project is to improve the accuracy of statistical software by providing reference datasets with certified computational results that enable the... -
Federal
Optimal Bayesian Experimental Design
Department of Commerce —
Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
NIST Statistical Reference Datasets - SRD 140
Department of Commerce —
The purpose of this project is to improve the accuracy of statistical software by providing reference datasets with certified computational results that enable the... -
Federal
Optimal Bayesian Experimental Design Version 1.0.1
National Institute of Standards and Technology —
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Scripts, data and plotting for "Simplified algorithms for adaptive experiment design in parameter estimation" v.2
Department of Commerce —
Examples of adaptive measurement protocols using optimal Bayesian experiment design. This dataset supports "Simplified algorithms for adaptive experiment design in... -
Federal
Optimal Bayesian Experimental Design Version 1.0.1
Department of Commerce —
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Source of the Refl1d program for modeling and analyzing neutron and X-ray reflectometry data, with the addition of distributed roughness capability.
Department of Commerce —
Source of the Refl1d program for modeling and analyzing neutron and X-ray reflectometry data, with the addition of distributed roughness capability. -
Federal
Optimal Bayesian Experimental Design
National Institute of Standards and Technology —
Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Optimal Bayesian Experimental Design Version 1.2.0
Department of Commerce —
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Scripts, data and plotting for "Simplified algorithms for adaptive experiment design in parameter estimation" v.2
National Institute of Standards and Technology —
Examples of adaptive measurement protocols using optimal Bayesian experiment design. This dataset supports "Simplified algorithms for adaptive experiment design in... -
Federal
Source of the Refl1d program for modeling and analyzing neutron and X-ray reflectometry data, with the addition of distributed roughness capability.
National Institute of Standards and Technology —
Source of the Refl1d program for modeling and analyzing neutron and X-ray reflectometry data, with the addition of distributed roughness capability. -
Federal
Optimal Bayesian Experimental Design Version 1.2.0
National Institute of Standards and Technology —
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters....