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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
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, … 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 … 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 … 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 … 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 … Statistics for Ballistics Identification—NIST is making advances in the science and technology of ballistics identification of firearms; SED provides statistical analyses and designs as a vital part of this project. 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 … Using Geodesics in Cell Cytometry—This statistical application involves determining the similarity of cell populations based on comparing cell shapes. 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 … Uncertainty analysis for autocorrelated measurement data—Develop approaches to assess uncertainties for various autocorrelated measurement data. Use of Bayesian statistics to improve optical measurement uncertainty by combined multi-tool metrology—Develop a new approach to combine measurements by various reference metrology results in the uncertainty analysis and library-fitting process to reduce parametric uncertainties. 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 … |
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) Antonio Possolo, Acting Group Leader antonio.possolo@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 |