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Search Publications by: Hariharan K. Iyer (Fed)

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Displaying 26 - 38 of 38

On Multiple-Method Studies

October 4, 2010
Author(s)
Chih-Ming Wang, Hariharan K. Iyer
In this paper we review statistical models that describe measurements from a multiple-method study such as in the development of a reference material. We also review requirements for the so-called GUM compliance as this appears to be an important criterion

On interchangeability of two laboratories

June 18, 2010
Author(s)
Chih-Ming Wang, Hariharan K. Iyer
This paper proposes a measure for assessing the degree of equivalence between the two laboratories in a key comparison. The measure is called asymmetric degree of interchangeability. It is asymmetric since, based on this measure, a laboratory may be

Fiducial Intervals for the Magnitude of a Complex-Valued Quantity

December 19, 2008
Author(s)
Chih-Ming Wang, Hariharan K. Iyer
This paper discusses a fiducial approach for constructing uncertainty intervals for the distance between k normal means and the origin. When k=2 this distance is equivalent to the magnitude of a complex-valued quantity. Uncertainty intervals for the

Fiducial approach for assessing agreement between two instruments

July 9, 2008
Author(s)
Chih-Ming Wang, Hariharan K. Iyer
This paper presents an approach for making inferences about the intercept and the slope of a linear regression model with both variables subject to measurement errors. The approach is based on the principle of fiducial inference. A procedure is presented

Uncertainty Analysis for Vector Measurands Using Fiducial Inference

January 1, 2006
Author(s)
Chih-Ming Wang, Hariharan K. Iyer
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

Propagation of Uncertainties in Measurements Using Structural Inference

March 21, 2005
Author(s)
Hariharan K. Iyer, Chih-Ming Wang
The ISO Guide to the Expression of Uncertainty in Measurement (GUM) recommends the use of a first-order Taylor series expansion for propagating errors and uncertainties. The GUM also permits the use of other analytical or numerical methods when the

On Higher Order Corrections for Propagating Uncertainties

January 1, 2005
Author(s)
Chih-Ming Wang, Hariharan K. Iyer
The ISO Guide to the Expression of Uncertainty in Measurement (GUM) recommends the use of a first-order Taylor series expansion for propagating errors and uncertainties. The GUM also suggests the use of a second-order Taylor series approximation for

Propagation of uncertainties in measurements using generalized influence

January 1, 2005
Author(s)
Hariharan K. Iyer, Chih-Ming Wang
The ISO Guide to the Expression of Uncertainty in Measurement (GUM) recommends the use of a first- order Taylor series expansion for propagating errors and uncertainties. The GUM also permits the use of "other analytical or numerical methods" when the

Models and Confidence Intervals for True Values in Interlaboratory Trials

December 6, 2004
Author(s)
Hariharan K. Iyer, Chih-Ming Wang, T Mathew
We consider the one-way random effects model with unequal sample sizes and heterogeneous variances. Using the method of generalized confidence intervals, we develop a new confidence interval procedure for the mean. Additionally, we investigate two
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