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Search Publications by: Hung-Kung Liu (Fed)

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Displaying 1 - 16 of 16

Development of NIST Standard Reference Material 2082, a Pathlength Standard for Measurements in the Ultraviolet Spectrum

July 10, 2017
Author(s)
Brian Lang, Aaron A. Urbas, Paul C. DeRose, Hung-Kung Liu, John C. Travis, Steven J. Choquette, Kenneth D. Cole
New spectrophotometers and cuvettes have been designed to allow the measurement of absorbance values from samples using microliter volume sizes. These measurements are done using short pathlengths to decrease the sample volumes required. The major

Linking Air and Vacuum Mass Measurement by Magnetic Levitation

May 12, 2009
Author(s)
Zeina J. Kubarych, Patrick J. Abbott, Edwin R. Williams, Ruimin Liu, Vincent J. Lee, Hung-Kung Liu
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 of

Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty

January 12, 2009
Author(s)
William F. Guthrie, Hung-Kung Liu, Andrew L. Rukhin, Blaza Toman, Chih-Ming Wang, Nien F. Zhang
The goals of this chapter are to present different approaches to uncertainty assessment from a statistical point of view and to relate them to the methods that are currently being used in metrology or are being developed within the metrology community. The

MCMC in StRD

October 16, 2008
Author(s)
Hung-Kung Liu, William F. Guthrie, D Malec, Grace L. Yang
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 computers have

Uncertainty Analysis for Virtual Cement Measurement

September 13, 2006
Author(s)
Blaza Toman, Adriana Hornikova, Robert C. Hagwood, Hung-Kung Liu, Nien F. Zhang, Edward J. Garboczi, Jeffrey W. Bullard
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

Analysis of Sensitivity of VCCTL Measurements to Various Input Quantities

August 9, 2006
Author(s)
Adriana Hornikova, Blaza Toman, Nien F. Zhang, Hung-Kung Liu, Robert C. Hagwood, Edward J. Garboczi, Jeffrey W. Bullard
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

Statistical Analysis of Key Comparisons with Linear Trends

August 1, 2004
Author(s)
Nien F. Zhang, Hung-Kung Liu, N Sedransk, W Strawderman
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 an

Bayesian Approach to Combining Results From Multiple Methods

January 1, 2001
Author(s)
Hung-Kung Liu, Nien F. Zhang
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 a

An Approach to Combining Results from Multiple Methods Motivated by the ISO GUM

August 1, 2000
Author(s)
M Levenson, D L. Banks, K Eberhardt, L M. Gill, William F. Guthrie, Hung-Kung Liu, M Vangel, James H. Yen, Nien F. Zhang
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 in

Open-Source Excel Tools For Statistical Metrology

Author(s)
Hung-Kung Liu, William F. Guthrie, Juan Soto
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 a