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Projects/Programs

Displaying 1 - 25 of 67

Bayesian Metrology Project

During the past decade with increased computing power and new research developments, Bayesian statistical methods have become practical in diverse areas of

Clutter Measurement

The ability to predict signal strength has many applications in the telecommunications industry. The difference(in dB) between the transmitted and received

Comparative Serum Proteomics Project

Initially the Comparative Mammalian Proteome Aggregator Resource (CoMPARe) Program will generate proteomic data from sera from 25 different species that

Critical Current Metrology

The main focus of the project is to develop standard techniques for the measurement of critical current of high-temperature and low-temperature superconductors

Data Science

The NIST Information Access Division (IAD) initiated a Data Science Research Program (DSRP) aimed to advance the measurement science for big data and data

Design and Analysis of Key Comparisons

With the signing of the Mutual Recognition Arrangement (MRA), National Metrology Institutes (NMI's) and Regional Metrology Organizations (RMO's) around the

e-Statistics

e-FITS (link currently only accessible to NIST staff) is a web-based tool used to generate graphs, tables, and random numbers for a large number of probability

Functional Analysis of Variance

Modern instruments tend to produce data that are consisted of measured spectra, probability distribution functions, or simply sampled curves. Statistical

Genome in a Bottle

Consortium hosted by NIST and JIMB dedicated to authoritative characterization of benchmark human genomes. Sign up for General GIAB and Analysis Team email

Impact Metrics

The NIST Research Library documents the impact of NIST’s scientific research with a comprehensive suite of measurement tools and analyses. These include

Interdisciplinary Projects

Some of the Multimodal Information Group's project areas span across multiple research areas within the group or to other groups in IAD. These interdisciplinary