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Displaying records 41 to 50 of 108 records.
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41. 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

42. Fiducial Prediction Intervals
Topic: Statistics
Published: 2/18/2012
Authors: Chih-Ming 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

43. Validating the LASSO Algorithm by Unmixing Spectral Signatures in Multicolor Phantoms.
Topic: Statistics
Published: 2/1/2012
Author: Daniel Victor Samarov
Abstract: As hyperspectral imaging (HSI) sees increased implementation into the biological and medical fields it becomes increasingly important that the algorithms being used to analyze the corresponding output be validated. While certainly important under any ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910459

44. 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

45. Universal Low-rank Matrix Recovery from Pauli Measurements
Topic: Statistics
Published: 12/12/2011
Author: Yi-Kai Liu
Abstract: We study the problem of reconstructing an unknown matrix M of rank r and dimension d using O(rd poly log d) Pauli measurements. This has applications in quantum state tomography, and is a non- commutative analogue of a well-known problem in compress ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909979

46. 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

47. 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

48. On Non-Linear Estimation of a Measurand
Topic: Statistics
Published: 11/7/2011
Authors: Chih-Ming Wang, Hariharan K Iyer
Abstract: We consider an estimation problem described in the Guide to the Expression of Uncertainty in Measurement (GUM). The problem is concerned with estimating a measurand that is a non-linear function of input quantities. The GUM describes two methods for ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908820

49. Model Selection for Good Estimation and Prediction Over a User-Speci ed Covariate Distribution for Linear Models Under the Frequentist Paradigm
Topic: Statistics
Published: 10/26/2011
Author: Adam L Pintar
Abstract: Model selection is an important part of estimation and prediction for linear models with multiple explanatory variables (covariates). A variety of approaches exist that focus on estimation of model parameters or the t of the model where data have be ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908794

50. 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



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