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Topic Area: Statistics

Displaying records 1 to 10 of 55 records.
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1. Improving optical measurement uncertainty with combined multitool metrology using a Bayesian approach
Topic: Statistics
Published: 8/30/2012
Authors: Nien-Fan Zhang, Richard M Silver, Hui Zhou, Bryan M Barnes
Abstract: Recently, there has been significant research investigating new optical technologies for dimensional metrology of features 22 nm in critical dimension and smaller. When modeling optical measurements, a library of curves is assembled through the simul ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907847

2. Pivotal Methods in the Propagation of Distributions
Topic: Statistics
Published: 4/24/2012
Authors: Chih-Ming Jack Wang, Jan Hannig, Hariharan K Iyer
Abstract: We propose a method for assigning a probability distribution to an input quantity. The distribution is used in the Monte Carlo method for uncertainty evaluation. The proposed method provides an alternative to other methods, such as the principle of m ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909867

3. Evaluation of Segmentation Algorithms on Cell Populations Using CDF Curves
Topic: Statistics
Published: 2/24/2012
Author: Robert Charles Hagwood
Abstract: Cell segmentation is a critical step in the analysis pipeline for most imaging cytometry experiments and the segmentation algorithm can effect the quantitative data derived from image analysis. Methods to evaluate segmentation algorithms are importan ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907743

4. Fiducial Prediction Intervals
Topic: Statistics
Published: 2/18/2012
Authors: Chih-Ming Jack Wang, Jan Hannig, Hariharan K Iyer
Abstract: This paper presents an approach for constructing prediction intervals for any given distribution. The approach is based on the principle of fiducial inference. We use several examples, including the normal, binomial, gamma, and Weibull distributions, ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905933

5. 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909036

6. Condensation Particle Counter Proportionality Calibration from 1 particle•cm-3 to 104 particles•cm-3
Topic: Statistics
Published: 11/29/2011
Authors: Miles Owen, George W. Mulholland, William F Guthrie
Abstract: The linearity of a condensation particle counter (CPC) (3760A, TSI, Inc.) for a monodisperse aerosol has been previously evaluated by comparison to an aerosol electrometer (AE) (Fletcher et al., 2009). The comparison of the CPC to the AE is an absolu ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907153

7. Tutorial for metrologists on the probabilistic and statistical apparatus underlying the GUM and related documents
Topic: Statistics
Published: 11/9/2011
Authors: Antonio M Possolo, Blaza Toman
Abstract: A review and précis of the meaning and calculus of probability, including random variables, probability distributions, functions of random variables, and of Bayesian statistical inference, with many illustrative examples.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910148

8. COMPARISON OF TWO DIMENSION-REDUCTION METHODS FOR NETWORK SIMULATION MODELS
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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906588

9. A Bayesian Statistical Model for Hybrid Metrology to Improve Measurement Accuracy
Topic: Statistics
Published: 7/31/2011
Authors: Richard M Silver, Nien-Fan 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

10. 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