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Author: andrew rukhin

Displaying records 11 to 20 of 46 records.
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11. 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

12. Limit of detection determination for censored samples.
Published: 1/11/2011
Author: Andrew L Rukhin
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

13. 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

14. Laplace Random Effects Models for Interlaboratory Studies
Published: 11/25/2010
Authors: Andrew L Rukhin, Antonio M Possolo
Abstract: 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. Estima ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903611

15. A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications
Series: Special Publication (NIST SP)
Report Number: 800-22rev1
Published: 9/16/2010
Authors: 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
Abstract: 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 i ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906762

16. Confidence Regions for Parameters of Linear Models
Published: 4/1/2010
Author: Andrew L Rukhin
Abstract: 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 em ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=152120

17. Joint Distribution of Pattern Frequencies and Multivariate Polya-Aeppli Law
Published: 1/14/2010
Author: Andrew L Rukhin
Abstract: This paper studies the joint distribution of frequencies of several overlapping words in a Markov sequence. Usually, characteristics of this distribution are expressed in terms of so-called pattern correlation matrix. A more direct approach allows fo ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=50909

18. Sequential Testing to Guarantee The Necessary Sample Size in Clinical Trials
Published: 1/1/2010
Author: Andrew L Rukhin
Abstract: The paper addresses the sequential sampling issues related to attainment of a given number of events in a Poisson process. The problem of guaranteeing the necessary sample size is formulated as that of open-ended hypothesis testing in which one has ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=901446

19. Conservative Confidence Ellipsoids for Linear Model Parameters
Published: 12/1/2009
Author: Andrew L Rukhin
Abstract: This paper studies properties of conservative confidence ellipsoids for parameters of a general linear model. These regions are obtained on the basis of a linear estimator when only a vague knowledge of (heterogeneous) error variances is available ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=902054

20. Weighted Means Statistics in Interlaboratory Studies
Published: 5/6/2009
Author: Andrew L Rukhin
Abstract: The usefulness of weighted means statistics as a consensus mean estimator in collaborative studies is discussed. A random effects model designed to combine information from several sourcesis employed to justify their appeal to metrologists. Some met ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=901445



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