Statistical analysis

News and Updates

Where Once Were Black Boxes, NIST’s New LANTERN Illuminates

June 22, 2022

Researchers at the National Institute of Standards and Technology (NIST) have developed a new statistical tool that they have used to predict protein function.

Smart City Holistic Key Performance Indicators Support Community Benefits

NIST International Collaboration Develops New Framework for Smart Cities and Communities

February 28, 2022

Have you ever wondered what it is about a smart city or community that makes it ‘smart?’ In an international collaboration with Dr. Martin Serrano of the

Gray ovals on blue background are linked to curved gray lines.

NIST Team Directs and Measures Quantum Drum Duet

May 6, 2021

Like conductors of a spooky symphony, researchers at the National Institute of Standards and Technology (NIST) have “entangled” two small mechanical drums and

Projects and Programs

metRology for Microsoft Excel

Ongoing

The goal of the metRology for Microsoft Excel* software project is to provide a convenient user interface using Microsoft Excel for some of the specialized

Tunable Compression of Wind Tunnel Data

Ongoing

Measurements of pressures exerted by wind on buildings, as are made in wind-tunnel tests involving model buildings instrumented with pressure taps, are an

e-Statistics

Ongoing

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

NIST/SEMATECH Engineering Statistics Handbook

Ongoing

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

Publications

Unmasking the Resolution–Throughput Tradespace of Focused-Ion-Beam Machining

August 21, 2022

Author(s)

Andrew Madison, John S. Villarrubia, Kuo-Tang Liao, Craig R. Copeland, Joshua Schumacher, Kerry Siebein, Robert Ilic, James Alexander Liddle, Samuel M. Stavis

Errors-in-variables calibration with dark uncertainty

June 16, 2022

Author(s)

Christina Cecelski, Blaza Toman, Fong-Ha Liu, Juris Meija, Antonio Possolo

A model for errors-in-variables regression is described that can be used to overcome the challenge posed by mutually inconsistent calibration data. The model

Learning Atom Probe Tomography time-of-flight peaks for mass-to-charge ratio spectrometry

April 2, 2022

Author(s)

Kevin J. Coakley, Norman A. Sanford

In laser-assisted atom probe tomography, an important goal is to reconstruct the mass-to-charge ratio, (m/z), spectrum due to various ion species. In general

Bi-Criteria Radio Spectrum Sharing with Subspace-Based Pareto Tracing

March 22, 2022

Author(s)

Zachary J. Grey, Susanna Mosleh, Jake Rezac, Yao Ma, Jason Coder, Andrew Dienstfrey

Radio spectrum is a scarce resource. To meet demands, new wireless technologies must operate in shared spectrum over unlicensed bands (coexist). We consider

Statistical analysis

News and Updates

Where Once Were Black Boxes, NIST’s New LANTERN Illuminates

NIST International Collaboration Develops New Framework for Smart Cities and Communities

NIST Team Directs and Measures Quantum Drum Duet

Projects and Programs

metRology for Microsoft Excel

Tunable Compression of Wind Tunnel Data

e-Statistics

NIST/SEMATECH Engineering Statistics Handbook

Publications

Unmasking the Resolution–Throughput Tradespace of Focused-Ion-Beam Machining

Errors-in-variables calibration with dark uncertainty

Learning Atom Probe Tomography time-of-flight peaks for mass-to-charge ratio spectrometry

Bi-Criteria Radio Spectrum Sharing with Subspace-Based Pareto Tracing

Software

Cost Assessment Tool for Sustainable Manufacturing (CATS)

Smart Investment Tool

Extreme Winds and Wind Effects on Structures