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Topic Area: Statistics
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Displaying records 51 to 60 of 108 records.
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51. A Bayesian Statistical Model for Hybrid Metrology to Improve Measurement Accuracy
Topic: Statistics
Published: 7/31/2011
Authors: Richard M Silver, Nien F Zhang, Bryan M Barnes, Jing Qin, Hui Zhou, Ronald G Dixson
Abstract: We present a method to combine measurements from different techniques that reduces uncertainties and can improve measurement throughput. The approach directly integrates the measurement analysis of multiple techniques that can include different conf ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908377

52. Bayesian uncertainty analysis for a regression model versus application of GUM Supplement 1 to the least-squares estimate
Topic: Statistics
Published: 5/5/2011
Authors: Blaza Toman, Clemens Elster
Abstract: Application of least-squares as, for instance, in curve fitting is an important tool of data analysis in metrology. It is tempting to employ the supplement 1 to the GUM (GUM-S1) to evaluate the uncertainty associated with the resulting parameter esti ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907685

53. Estimating Common Parameters in Heterogeneous Random Effects Models
Topic: Statistics
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

54. Maximum Likelihood and Restricted Likelihood Solutions in Multiple-Method Studies
Series: Journal of Research (NIST JRES)
Topic: Statistics
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

55. A chapter ``Statistical Testing of Randomness: New and Old Procedures '' Statistical Engineering Division is a contribution to the book "Randomness: Five Questions"
Topic: Statistics
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

56. Limit of detection determination for censored samples.
Topic: Statistics
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

57. Reducing Data Nonconformity in Linear Models
Topic: Statistics
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

58. Laplace Random Effects Models for Interlaboratory Studies
Topic: Statistics
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

59. A New Analysis of the False-Positive Rate of a Bloom Filter
Topic: Statistics
Published: 10/15/2010
Authors: Ken Christensen, Allen L Roginsky, Miguel Jimeno
Abstract: A Bloom filter is a space-efficient data structure used for probabilistic set membership testing. When testing an object for set membership, a Bloom filter may give a false positive. The analysis of the false positive rate is key to understanding the ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903775

60. On Multiple-Method Studies
Topic: Statistics
Published: 10/4/2010
Authors: Chih-Ming Wang, Hariharan K Iyer
Abstract: 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 cri ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905972



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