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Federal
NIST/SEMATECH e-Handbook of Statistical Methods (NIST Handbook 151)
National Institute of Standards and Technology —
The NIST/SEMATECH e-Handbook of Statistical Methods is a Web-based book written to help scientists and engineers incorporate statistical methods into their work as... -
Federal
A mathematical framework to correct for compositionality in microbiome datasets
National Institute of Standards and Technology —
This repository provides the raw data and analysis code used to demonstrate the implementation of a mathematical framework that uses internal standards to correct for... -
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
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.... -
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
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....