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Displaying records 21 to 30 of 115 records.
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21. Assessing Conformity of Two Laboratories: Formulations as a Statistical Hypothesis Testing Problem
Topic: Statistics
Published: 1/9/2013
Author: Andrew L Rukhin
Abstract: A decision problem frequently occurring in metrology is that of compatibility of data obtained by two (or several) different laboratories, methods or instruments. Several statistical approaches to this conformity assessment problem are reviewed inclu ...

22. Assessment of measurement uncertainty via observation equations
Topic: Statistics
Published: 12/3/2007
Authors: Antonio M Possolo, Blaza Toman
Abstract: According to the Guide to the Expression of Uncertainty in Measurement, measurement uncertainty is assessed by computational propagation of error based on a measurement equation that expresses the measurand as a known function of input variables. How ...

23. Asymptotically Optimal Confidences for Rejecting Local Realism
Topic: Statistics
Published: 12/22/2011
Authors: Yanbao Zhang, Scott C Glancy, Emanuel H Knill
Abstract: Reliable experimental demonstrations of violations of local realism are highly desirable for fundamental tests of Quantum Mechanics. Such violations can be quantified in terms of a confidence for rejecting local realism. We propose a method for comp ...

24. Bayes Estimators of Heterogeneity Variance and T-Systems
Topic: Statistics
Published: 1/8/2014
Author: Andrew L Rukhin
Abstract: The considered problem concerns simultaneous inference for curve-confined natural parameters of independent, heterogeneous gamma-random variables with known shape parameters. The meta-analysis motivated loss function is suggested and some propertie ...

25. Bayesian Alternative to the Guide's Use of the Welch-Satterthwaite Formula
Topic: Statistics
Published: 1/3/2006
Author: Raghu N Kacker
Abstract: The Guide to the Expression of Uncertainty in Measurement suggests that to account for the statistical uncertainty in a combined standard uncertainty that arises when one or more of its components are evaluated from a limited number of independent no ...

26. Bayesian Estimation of Reliability for Batches of High Reliability Single Use Parts
Topic: Statistics
Published: 9/24/2012
Author: Adam L Pintar
Abstract: When batches of critical, very high reliability single use parts are being produced, rigorous testing is often required to qualify the parts and allow them to be used by the customer. Frequentist and Bayesian approaches are described for predicting ...

27. 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 ...

28. Boltzmann's H-Function and Diffusion Processes
Topic: Statistics
Published: 5/15/2013
Authors: Steven P Lund, Joseph Bunton Hubbard, Michael W Halter
Abstract: There exists a generalization of Boltzmann's $H$-function that allows for non-uniformly populated stationary states which may exist far from thermodynamic equilibrium. Here we describe a method for obtaining a generalized or collective diffusion coef ...

29. Bootstrap Variability Studies in ROC Analysis on Large Datasets
Topic: Statistics
Published: 3/19/2014
Authors: Jin Chu Wu, Alvin Martin, Raghu N Kacker
Abstract: The nonparametric two-sample bootstrap is employed to compute uncertainties of measures in receiver operating characteristic (ROC) analysis on large datasets in areas such as biometrics, and so on. In this framework, the bootstrap variability was emp ...

Series: Journal of Research (NIST JRES)
Report Number: 116-5
Topic: Statistics
Published: 10/5/2011
Authors: Kevin L Mills, James J Filliben
Abstract: Experimenters characterize the behavior of simulation models for data communications networks by measuring multiple responses under selected parameter combinations. The resulting multivariate data may include redundant responses reflecting aspects of ...

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