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You searched on: Author: andrew rukhin

Displaying records 11 to 20 of 53 records.
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11. Simultaneous Estimation and Reduction of Nonconformity in Interlaboratory Studies
Published: 8/8/2012
Authors: Andrew L Rukhin, William E Strawderman
Abstract: Several procedures designed to reduce nonconformity in interlaboratory studies by shrinking data toward a consensus weighted mean are suggested. Some of them are shown to have a smaller quadratic risk than the vector sample mean. Shrinkage toward a w ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=901157

12. Estimating Heterogeneity Variance in Meta-Analysis
Published: 8/6/2012
Author: Andrew L Rukhin
Abstract: 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 th ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909704

13. Estimating Common Mean and Heterogeneity Variance in Two Study Case Meta-Analysis
Published: 4/1/2012
Author: Andrew L Rukhin
Abstract: The relative behavior of estimators of the common mean and of the heterogeneity variance in the simplest random effects model of meta-analysis is explored. A simple estimator improving on the DerSimonian-Laird procedure is derived.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910111

14. Confidence Intervals for Treatment Effect from Restricted Maximum Likelihood
Published: 2/21/2012
Author: Andrew L Rukhin
Abstract: Confidence intervals for the treatment effect in random effects meta-analysis model obtained from Harville-Jeske-Kenward-Roger approach are obtained in explicit form. They are compared to some other intervals commonly used in collaborative studies wi ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908146

15. Evaluation of Self Diffusion Data Using Weighted Means Statistics
Published: 6/1/2011
Authors: Carelyn E Campbell, Andrew L Rukhin
Abstract: 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 determin ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906904

16. Estimating Common Parameters in Heterogeneous Random Effects Models
Published: 4/13/2011
Author: Andrew L Rukhin
Abstract: 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 lin ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=904659

17. Maximum Likelihood and Restricted Likelihood Solutions in Multiple-Method Studies
Series: Journal of Research (NIST JRES)
Published: 1/31/2011
Author: Andrew L Rukhin
Abstract: A formulation of the problem of combining data from several sources is discussed in terms of random effects models. The unknown measurement precision is not supposed to be constant among laboratories whose summary results may seem not to conform to ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906278

18. A chapter ``Statistical Testing of Randomness: New and Old Procedures '' Statistical Engineering Division is a contribution to the book "Randomness: Five Questions"
Published: 1/11/2011
Author: Andrew L Rukhin
Abstract: Several procedures designed to test randomness of binary sequences are reviewed. Necessary modifications to the existing document ``A statistical test suite for the validation of cryptographic random number generators'', Special NIS ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903151

19. Limit of detection determination for censored samples.
Published: 1/11/2011
Authors: Andrew L Rukhin, Daniel Victor Samarov
Abstract: 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906715

20. Reducing Data Nonconformity in Linear Models
Published: 1/3/2011
Author: Andrew L Rukhin
Abstract: 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 s ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905278



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