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Topic Area: Statistics

Displaying records 51 to 60 of 115 records.
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51. 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 ...

52. 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.

53. 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 ...

54. 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 ...

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 ...

56. 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 H. 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 ...

57. 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 ...

58. 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 ...

59. 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 ...

60. 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 ...

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