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Search Publications by: Raghu N Kacker (Fed)

Displaying 176 - 194 of 194

Erratum: Statistical Interpretation of Key Comparison Reference Value and Degrees of Equivalence

August 1, 2004

Author(s)

Raghu N. Kacker, Raju V. Datla, Albert C. Parr

Combining Information from Independent Similar Studies Using Random Effect Model

January 1, 2004

Author(s)

Raghu N. Kacker

We compare leading statistical methods to combine information from independent similar studies using random effects model. One of the oldest methods is that of Cochran (1954). The method of Paule and Mandel (1982) was developed to determine the consensus

Statistical Interpretation of Key Comparison Reference Value and Degrees of Equivalence

November 1, 2003

Author(s)

Raghu N. Kacker, Raju V. Datla, Albert C. Parr

This paper responds to comments received by the authors on the paper, Combined Result and Associated Uncertainty from Interlaboratory Evaluations Based on the ISO Guide that appeared in Metrologia, 2002, 39, 279-293.

On Use of Bayesian Statistics to Make Guide to the Expression of Uncertainty in Measurement Consistent

September 1, 2003

Author(s)

Raghu N. Kacker, Albert W. Jones

The Guide to the Expression of Uncertainty in Measurement recommends a standardized way of expressing uncertainty in measurement and provides a comprehensive approach for combining information to evaluate uncertainty in all kinds of measurements in science

On Use of Bayesian Statistics to Make Guide to the Expression of Uncertainty in Measurement Consistent

August 1, 2003

Author(s)

Raghu N. Kacker, Albert T. Jones

Repeatability and Reproducibility Standard Deviations in the Measurement of Trace Moisture Generated Using Permeation Tubes

May 1, 2003

Author(s)

Peter H. Huang, Raghu N. Kacker

Permeation-tube moisture generators are commonly used in industry as calibrated sources of water vapor and carrier gas mixtures. This paper describes repeatability and reproducibility uncertainties obtained with these generators in the range 10 nL/L to 100

Combined Result and the Associated Uncertainty from Interlaboratory Evaluations Based on the ISO Guide

September 1, 2002

Author(s)

Raghu N. Kacker, Raju V. Datla, Albert C. Parr

We address the problem of determining the combined result and the associated uncertainty in measurement of a common measurand by a set of competent laboratories. The issues include the following. What is the combined result and what uncertainty is

Diffraction Corrections in Radiometry: A Proposed Method to Estimate Uncertainties

January 1, 2002

Author(s)

Eric L. Shirley, Raghu N. Kacker, Raju V. Datla

Radiometric determination of certain quantities, such as source radiance, geometrical aspects of an optical system (e.g., throughput, aperture areas and detector response relies heavily on the mathematical principles governing geometrical optics. These

An Interpretation of the Guide to the Expression of Uncertainty in Measurement

May 1, 2000

Author(s)

Raghu N. Kacker

The Guide to the Expression of Uncertainty in Measurement (GUM) is intended for all scientific and technological measurements in science, engineering, commerce, industry, and regulation. So the GUM must have a clear interpretation. But it mixes up concepts

Reliability of Conformance Tests

August 21, 1998

Author(s)

Robert C. Hagwood, Raghu N. Kacker, James H. Yen, D L. Banks, Lynne S. Rosenthal, Leonard J. Gallagher, Paul E. Black

A conformance test is a software assurance test that is applied in order to determine if specification requirements of the software are being met. It is a time-dependent model, where the software object is subjected to an a priori known test suite. The

Software Testing: Protocol Comparison

May 29, 1998

Author(s)

James H. Yen, D L. Banks, Leonard J. Gallagher, Paul E. Black, Robert C. Hagwood, Raghu N. Kacker, Lynne S. Rosenthal

Software testing is hard, expensive, and uncertain. Many protocols have been suggested, especially in the area of conformance verification. In order to compare the efficacy of these protocols, we have implemented a designed simulation experiment that

Software Testing by Statistical Methods - Preliminary Success Estimates for Approaches Based on Binomial Models, Coverage Designs, Mutation Testing, and Usage Models

March 1, 1998

Author(s)

D L. Banks, W H. Dashiell, Leonard J. Gallagher, Robert C. Hagwood, Raghu N. Kacker, Lynne S. Rosenthal

Software Testing by Statistical Methods: Preliminary Success Estimates for Approaches Based on Binomial Models, Coverage Designs, Mutation Testing, and Usage Models

March 1, 1998

Author(s)

D L. Banks, W H. Dashiell, Leonard J. Gallagher, Robert C. Hagwood, Raghu N. Kacker

This paper is a survey of the statistical methods relevant to Black-Box conformance testing. The methods are reviewed from the view point of their potential use in an ITL collaborative project.

A Simple Scalability Test for MIMD Code

June 1, 1994

Author(s)

Gordon E. Lyon, Raghu N. Kacker

Computing Effects and Error for Large Synthetic Perturbation Screenings

December 1, 1993

Author(s)

N Droulin, Raghu N. Kacker, Gordon E. Lyon

Using Synthetic-Perturbation Techniques for Tuning Shared Memory Programs

March 1, 1993

Author(s)

Robert D. Snelick, J Ja' ja', Raghu N. Kacker, Gordon E. Lyon

Synthetic-Perturbation Tuning of MIMD Programs

February 1, 1993

Author(s)

Gordon E. Lyon, Robert D. Snelick, Raghu N. Kacker

Time-Perturbation Tuning of MIMD Programs

June 1, 1992

Author(s)

Gordon E. Lyon, Robert D. Snelick, Raghu N. Kacker

Statistical Quality Control Technology in Japan--A Report for the Office of Naval Research

July 1, 1990

Author(s)

K Bowman, Ted Hopp, Raghu N. Kacker, R Lundegard

From May 17, 1989 to June 1, 1989, a survey team organized by the National Institute of Standards and Technology visited Japan to assess research and applications of statistical quality control technology. The team explored the philosophy and conduct for

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