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Gaithersburg Group

Welcome

The Gaithersburg Group focuses on collaborations with NIST scientists in the Gaithersburg, Maryland, campus, with emphasis on NIST's Special Programs (including greenhouse gases and law enforcement standards), IMS projects (e.g., Optical Medical Imaging, Shape Metrology), statistical modeling and data analysis for NIST Standard Reference Materials, experimental design, exploratory data analysis, and statistical modeling and inference supporting scientific discovery and technology development, as well as education and training.

Programs/Projects

Statistics for Ballistics Identification—NIST is making advances in the science and technology for identification of firearms and tool marks; SED provides statistical analyses and designs as a vital part of this project.

A Point Process Model for Evacuation Flows: The Hawkes Model—The primary motivation for this work is the fire in the World Trade Center towers, which generated an urgent need to better understand evacuation procedures in cases of fire in other high rise …

Using Geodesics in Cell Cytometry—This statistical application involves determining the similarity of cell populations based on comparing cell shapes.

Statistics for Bioassay Standard Development—In this project, we investigate appropriate uncertainty analysis and splicing algorithms for spectral data, especially fluorescence spectroscopy calibration, to support bioassay standard …

Statistics for Quantitative Imaging—Modern imaging systems produce massive amount of data that can be used to obtain critical 3D information on targeted measurement objects (nodules), including volumes and largest diameter. …

Functional Analysis of Variance—Modern instruments tend to produce data that are consisted of measured spectra, probability distribution functions, or simply sampled curves. Statistical methods such as ANOVA may be adapted and …

Copy of Statistics for Food and Supplement Standard Reference Materials—SED has had a long and extensive collaboration with the Materials Measurement Laboratory in working toward the certification of standard reference materials. Each material undergoes a thorough …

Statistical Process Monitoring for Autocorrelated Data—Develop statistical approaches to monitor process mean, process variability, and process capability indices for autocorrelated data.

Uncertainty analysis for autocorrelated measurement data—Develop statistical approaches to assess uncertainties for various autocorrelated measurement data.

Compatibility Assessment and Bias Estimation for Standard Reference Materials—NIST produces a number of food-matrix Standard Reference Materials. A problem that frequently occurs in their analysis is one of assessing compatibility of data obtained by a laboratory with the …

Quantifying Uncertainty in Accelerometer Sensitivity Studies—To compare the sensitivity of linear accelerometers.

Maps of Non-hurricane Non-tornadic Extreme Wind Speeds for the Contiguous United States—The goal of this project is to propose a new set of maps of extreme wind speeds for the next revision of Minimum Design Loads for Buildings and Other Structures which is published by the American …

Detecting Change Points in Surface Temperature Records—The long records (sometimes over 100 years) of surface temperatures available from meteorological monitoring stations in the Unites States can be a valuable resource for estimating the magnitude of …

metRology Software Project—The goal of the metRology software project is to provide a set of specialized functions for statistical metrology as a package for the R software environment for statistical computing and graphics. …

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 world have committed themselves to …

metRology for Microsoft Excel Software Project—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 functions for statistical metrology found …

Statistical Metrology Short Courses—Staff members of the Statistical Engineering Division regularly offer short courses on uncertainty analysis, design of experiments, and other topics in statistical metrology at NIST, at conferences …

NIST/SEMATECH Engineering Statistics Handbook—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 efficiently as possible. Ideally, …

Computational Biology: Comarison of Cell Image Segmentation Algorithms—With the advent of automated data acquisition systems in conjunction with on-line imaging devices, the biological researcher is potentially confronted with gigabytes of bio-images which henceforth …

Sealant Service Life Prediction—The Building Joint Sealant Service Life Prediction Research  project has been initiated by BFRL to deliver critical predictive models for service life to the sealant industry (a significant part of …

Comparison of Internet Congestion-Control Algorithms—A Complex System is any structure, process, organization, or organism characterized by a large number of interconnected components whose micro-interactions lead to macro-behavior which is nonlinear …

Bayesian Statistical Estimation of Degrees of Equivalence for Key Comparison Experiments—Develop Bayesian statistical methods for the estimation of Degrees of Equivalence between laboratories participating in Key Comparison experiments. Degrees of Equivalence are measures of agreement …

Uncertainty Estimation in Interlaboratory Studies—Statistical modeling and analysis of interlaboratory comparisons pose several fundamental questions about determination of the consensus value and its associated uncertainty. An appropriate choice …

An Alternative Approach to Mass Metrology—In anticipation of the redefinition of the kilogram and to avoid a parallel non-SI dissemination system for mass, an alternative approach to mass measurement is being developed at NIST. Magnetic …

Tunable Compression of Wind Tunnel Data—Measurements of pressures exerted by wind on buildings, as are made in wind-tunnel tests involving model buildings instrumented with pressure taps, are an invaluable resource to design safe …

Experimental Evaluation of Large-Scale Parallel Measurement Systems—Measurement systems such as those based on microarrays routinely produce thousands of parallel data sets. This project seeks to develop an approach to experimental characterization of the technical …

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 distributions. In addition, it can …

Cement Characteristics by Direct Phase Assessment—Worldwide, cement/concrete development and utilization represent significant measurable fractions of national GDP's. Over-reliance on dated modes of assessing materials composition and performance …

Highlights

Statistical Metrology Short Courses - Staff members of the Statistical Engineering Division regularly offer short courses on uncertainty analysis, design of experiments, and other topics in statistical metrology. Short courses are offered at NIST, at conferences open to the public, and for other government agencies.

 
Contact
Information Technology Laboratory (ITL)

Statistical Engineering Division (SED)

Gaithersburg Statistics Group (GSG)

William F. Guthrie, Acting Group Leader
will.guthrie@nist.gov
100 Bureau Drive, M/S 8980
Gaithersburg, MD 20899-8980

301-975-2853 Telephone
301-975-3144 Facsimile

If you have any questions regarding this website, or notice any problems or inaccurate information, please contact the webmaster by sending e-mail to: sedwww@nist.gov