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Displaying records 101 to 110 of 116 records.
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101. Spatial Correlations and Robust Statistical Analysis for Combinatorial Methodologies
Topic: Statistics
Published: 1/1/2004
Authors: Eric J. Amis, S B Kennedy, Aaron M Forster, N. R. Washburn

102. Statistical Analysis of NIST Interlaboratory Comparison of Polystyrene Molecular Mass Distribution Obtained by MALDI TOF MS
Topic: Statistics
Published: 1/1/1999
Authors: S Wetzel, Charles Martin Guttman, Kathleen M. Flynn

103. Statistical Analysis of Reader Measurement Variability in Nodule Sizing with CT Phantom Imaging Data
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7879
Topic: Statistics
Published: 11/23/2012
Authors: John Lu, Charles D. Fenimore, Nicholas Petrick, Rongping Zeng, Marios A Gavrielides, David Clunie, Kristin Borradaile, Robert Ford, Hyun J. Grace Kim, Michael McNitt-Gray, Binsheng Zhao, Andrew Buckler
Abstract: RSNA has conducted a phantom quantitative imaging biomarker (QIBA) study to assess reader measurement variability of both spherical and non-spherical nodules using CT imaging. Statistical analysis of intra-reader and inter-reader variability of v ...

104. Statistical Analysis of Single PPTA Fibers
Topic: Statistics
Published: 7/28/2013
Authors: Nathanael A Heckert, Jae Hyun Kim, Kirk D Rice, Gale Antrus Holmes
Abstract: Discuss statistical methods used for analysis of single fiber tensile strength tests. Kernel density plots and quantile-quantile plots were used to graphically analyze the data. Fiber strength was modeled using 2-parameter Weibull, 3-parameter Weib ...

105. Statistical Interpretation of Key Comparison Degrees of Equivalence Based on Distributions of Belief
Topic: Statistics
Published: 4/2/2007
Author: Blaza Toman
Abstract: In a Key Comparison experiment, the Mutual Recognition Arrangement (MRA) requires the calculation of the Degrees of Equivalence (DoE) and the accompanying measures of uncertainty. Unilateral DoEs have been defined as a difference between a laboratory ...

106. Statistical Interpretation of Key Comparison Reference Value and Degrees of Equivalence
Series: Journal of Research (NIST JRES)
Topic: Statistics
Published: 11/1/2003
Authors: Raghu N Kacker, Raju Vsnu Datla, Albert C Parr
Abstract: This paper responds to comments received by the authors on the paper, Combined Result and Associated Uncertainty from Interlaboratory Evaluations Based on the ISO Guide that appeared in Metrologia, 2002, 39, 279-293.

107. Testing Equality of Cell Populations Based on Shape and Geodesic Distance
Topic: Statistics
Published: 12/3/2013
Authors: Robert Charles Hagwood, Javier Bernal, Michael W Halter, John T Elliott
Abstract: Image cytometry has emerged as a valuable in-vitro screening tool and advances in automated microscopy have made it possible to readily analyze large cellular populations of image data. A statistical procedure to study homogeneity of such data ...

108. Three Statistical Paradigms for The Assessment and Interpretation of Measurement Uncertainty
Topic: Statistics
Published: 1/12/2009
Authors: William F Guthrie, Hung-Kung Liu, Andrew L Rukhin, Blaza Toman, Chih-Ming Wang, Nien F Zhang
Abstract: The goals of this chapter are to present different approaches to uncertainty assessment from a statistical point of view and to relate them to the methods that are currently being used in metrology or are being developed within the metrology communit ...

109. 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.

110. Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation
Topic: Statistics
Published: 12/6/2012
Authors: Yi-Kai Liu, Animashree Anandkumar, Dean P. Foster, Daniel Hsu, Sham M. Kakade
Abstract: The problem of topic modeling can be seen as a generalization of the clustering problem, in that it posits that observations are generated due to multiple latent factors (e.g. the words in each document are generated as a mixture of several activ ...

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