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Search Publications by: Hung-Kung Liu (Assoc)

Displaying 26 - 32 of 32

Performance Evaluation of Approaches to Combining Results From Multiple Methods

April 1, 2003

Author(s)

Hung-Kung Liu, Nien F. Zhang

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 years

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