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You searched on: Author: hung-kung liu Sorted by: title

Displaying records 1 to 10 of 13 records.
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1. An Approach to Combining Results from Multiple Methods Motivated by the ISO GUM
Series: Journal of Research (NIST JRES)
Published: 8/1/2000
Authors: M Levenson, D L. Banks, K Eberhardt, L M. Gill, William F Guthrie, Hung-Kung Liu, M Vangel, James H Yen, Nien F Zhang
Abstract: The problem of determining a consensus value and its uncertainty from the results of multiple methods or laboratories is discussed. Desirable criteria of a solution are presented. A solution based on the ISO Guide to the Expression of Uncertainty i ...

2. Analysis of Sensitivity of VCCTL Measurements to Various Input Quantities
Published: 8/9/2006
Authors: Adriana Hornikova, Blaza Toman, Nien F Zhang, Hung-Kung Liu, Robert Charles Hagwood, Edward Joseph Garboczi, Jeffrey W Bullard
Abstract: Virtual measurements are the outputs of well-defined mathematical models based on theoretical principles and simulation algorithms. The VCCTL (Virtual Cement and Concrete Testing Laboratory) is a software system built by the Material and Construction ...

3. Bayesian Approach to Combining Results From Multiple Methods
Published: 1/1/2001
Authors: Hung-Kung Liu, Nien F Zhang
Abstract: Many solutions to the problem of estimating the consensus mean from the results of multiple methods or laboratories have been proposed. In a Bayesian analysis, the consensus mean is specified through probabilistic dependency as either a ¿parent¿ or ...

4. Certified Transmittance Density Uncertainties for Standard Reference Materials using a Transfer Spectrophotometer
Series: Technical Note (NIST TN)
Report Number: 1715
Published: 11/28/2011
Authors: John Carlton Travis, Melody V Smith, Steven J Choquette, Hung-Kung Liu
Abstract: Overall uncertainties are evaluated for the certification of transmittance density (absorbance referred to air) and regular spectral transmittance for solid neutral density filter Standard Reference Materials by means of a transfer spectrophotometer. ...

5. Linking Air and Vacuum Mass Measurement by Magnetic Levitation
Published: 5/12/2009
Authors: Zeina Jabbour Kubarych, Patrick J Abbott, Edwin Ross Williams, Ruimin Liu, Vincent J Lee, Hung-Kung Liu
Abstract: This paper describes a new approach to directly link air and vacuum mass measurements using magnetic levitation techniques. This procedure provides direct traceability to national standards, presently defined in air, without requiring the estimate o ...

6. MCMC in StRD
Published: Date unknown
Authors: Hung-Kung Liu, William F Guthrie, D Malec, Grace L Yang
Abstract: The numerical inaccuracies caused by floating point arithmetic, although often not important, can change the conclusions of an analysis. Computational accuracy is of increasing concern because the number of software packages has exploded as computer ...

7. Open-Source Excel Tools For Statistical Metrology
Published: Date unknown
Authors: Hung-Kung Liu, William F Guthrie, Juan Soto
Abstract: In this paper we introduce an approach to construct statistical metrology tools with a Microsoft Excel based interface that use the open source statistical package R as the computational engine. These metrology tools will enable Excel users to access ...

8. Performance Evaluation of Approaches to Combining Results From Multiple Methods
Published: 4/1/2003
Authors: Hung-Kung Liu, Nien F Zhang
Abstract: The problem of determining a consensus mean and its uncertainty from the results of multiple measurement methods or laboratories is an important problem. Many solutions, both Bayesian and non-Bayesian, to this problem have been proposed over the ye ...

9. Statistical Analysis of Key Comparisons with Linear Trends
Published: 8/1/2004
Authors: Nien F Zhang, Hung-Kung Liu, N Sedransk, W Strawderman
Abstract: A statistical analysis for Key Comparisons with linear trend is proposed. The approach has the advantage that it is consistent with the case in which there is no trend. The uncertainties for KCRV and the degrees of equivalence are also provided. As ...

10. Statistical Reference Datasets (StRD) for Assessing the Numerical Accuracy of Markov Chain Monte Carlo Software
Published: 12/1/2003
Authors: Hung-Kung Liu, William F Guthrie, D Malec, Grace L Yang
Abstract: In the Statistical Reference Datasets (StRD) project, NIST provided datasets on the web (http://www.itl.nist.gov/div898/strd/) with certified values for assessing the numerical accuracy of software for univariate statistics, linear regression, nonli ...

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