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Publication Citation: Uncertainty Analysis for Vector Measurands Using Fiducial Inference

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Author(s): Chih-Ming Wang; Hariharan K. Iyer;
Title: Uncertainty Analysis for Vector Measurands Using Fiducial Inference
Published: January 01, 2006
Abstract: This paper presents a method for constructing uncertainty regions for a vector measurand in the presence of both type-A and type-B errors. The method is based on the principle of fiducial inference and generally requires a Monte Carlo approach for computing uncertainty regions. A small simulation study is carried out to evaluate the performance of the method. Computer programs, written in public-domain software, for computing uncertainty regions are listed. An example, involving complex S-parameter measurements, is used to illustrate the proposed method.
Citation: Metrologia
Volume: 43
Pages: pp. 486 - 494
Keywords: generalized pivotal quantities;ISO GUM;key comparisons.
Research Areas: Statistics