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Search Publications by: Andrew L Rukhin (Fed)

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Displaying 26 - 50 of 112

Estimating Heterogeneity Variance in Meta-Analysis

August 6, 2012
Author(s)
Andrew L. Rukhin
Several new estimators of the between-study variability in a heterogeneous random effects meta-analysis model are derived. One of them can be interpreted as the empirical Bayes procedure for a diffuse prior with the given prior mean. Another is the

Evaluation of Self Diffusion Data Using Weighted Means Statistics

June 1, 2011
Author(s)
Carelyn E. Campbell, Andrew L. Rukhin
Several CALPHAD-based assessments of the self-diffusion mobility of Ni in pure Ni and Al in pure Al have been published. In an effort to determine which assessment best represents the experimental data, weighted means statistics are used to determine

Estimating Common Parameters in Heterogeneous Random Effects Models

April 13, 2011
Author(s)
Andrew L. Rukhin
A question of fundamental importance for meta-analysis of heterogeneous data studies is how to form a best consensus estimator of common parameters, and what uncertainty to attach to the estimate. This issue is addressed for a class of unbalanced linear

Limit of detection determination for censored samples.

January 11, 2011
Author(s)
Andrew L. Rukhin, Daniel V. Samarov
The problem of setting the limit of detection is considered for censored samples and heterogeneous errors. After formal definitions of the critical level and of the method detection limit, we introduce simplified maximum likelihood-type estimators. The

Reducing Data Nonconformity in Linear Models

January 3, 2011
Author(s)
Andrew L. Rukhin
Stein phenomenon Summary Several procedures designed to reduce nonconformity in interlaboratory studies by shrinking data toward a consensus matrix weighted mean are suggested. Some of them are shown to have a smaller quadratic risk than the vector sample

Laplace Random Effects Models for Interlaboratory Studies

November 25, 2010
Author(s)
Andrew L. Rukhin, Antonio M. Possolo
A model is introduced for measurements obtained in collaborative interlaboratory studies, comprising measurement errors and random laboratory effects that have Laplace distributions, possibly with heterogeneous, laboratory-specific variances. Estimators

A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications

September 16, 2010
Author(s)
Lawrence E. Bassham, Andrew L. Rukhin, Juan Soto, James R. Nechvatal, Miles E. Smid, Stefan D. Leigh, M Levenson, M Vangel, Nathanael A. Heckert, D L. Banks
This paper discusses some aspects of selecting and testing random and pseudorandom number generators. The outputs of such generators may be used in many cryptographic applications, such as the generation of key material. Generators suitable for use in

Confidence Regions for Parameters of Linear Models

April 1, 2010
Author(s)
Andrew L. Rukhin
A method is suggested for constructing a conservative confidence region for the parameters of a general linear model. In meta-analytical applications, when the results of independent but heterogeneous studies are to be combined, this region can be employed