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Topic Area: Statistics
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Displaying records 41 to 50 of 108 records.
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41. Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates
Topic: Statistics
Published: 10/12/2012
Author: Steven P Lund
Abstract: Next generation sequencing technology provides a powerful tool for measuring gene expression (mRNA) levels in the form of RNA-sequence data. Method development for identifying differentially expressed (DE) genes from RNA-seq data, which frequently in ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911007

42. Erratum: Statistical Interpretation of Key Comparison Reference Value and Degrees of Equivalence
Series: Journal of Research (NIST JRES)
Topic: Statistics
Published: 8/1/2004
Authors: Raghu N Kacker, Raju Vsnu Datla, Albert C Parr
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=150898

43. 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=904659

44. Estimating common mean and heterogeneity variance in two study case meta-analysis
Topic: Statistics
Published: 4/1/2012
Author: Andrew L Rukhin
Abstract: The relative behavior of estimators of the common mean and of the heterogeneity variance in the simplest random effects model of meta-analysis is explored. A simple estimator improving on the DerSimonian-Laird procedure is derived.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910111

45. Estimating heterogeneity variance in meta-analysis
Topic: Statistics
Published: 8/6/2012
Author: Andrew L Rukhin
Abstract: Several new estimators of the between-study variability in a heterogeneous random effects meta-analysis model are derived. One of them can be interpreted as the empirical Bayes procedure for a diffuse prior with the given prior mean. Another is th ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909704

46. 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

47. Evolution of Modern Approaches to Express Uncertainty in Measurement
Topic: Statistics
Published: 11/27/2007
Authors: Raghu N Kacker, K D Sommer, Bernd Siebert
Abstract: The object of this paper is to discuss evolution of the concept of uncertainty in measurement and methods for its quantification from the classical error analysis to the modern approaches based on the Guide to the Expression of Uncertainty in Measure ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51120

48. Fast Sequential Importance Sampling fo Estimate the Graph Reliability Polynomial
Topic: Statistics
Published: 11/5/2012
Authors: David G. Harris, Francis Sullivan, Isabel M Beichl
Abstract: The reliability polynomial of a graph measures the number of its connected subgraphs of various sizes. Algortihms based on sequential importance sampling (SIS) have been proposed to estimate a graph's reliahbility polynomial. We develop an improved ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905927

49. Fiducial Intervals for the Magnitude of a Complex-Valued Quantity
Topic: Statistics
Published: 12/19/2008
Authors: Chih-Ming Wang, Hariharan K Iyer
Abstract: This paper discusses a fiducial approach for constructing uncertainty intervals for the distance between k normal means and the origin. When k=2 this distance is equivalent to the magnitude of a complex-valued quantity. Uncertainty intervals for the ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=890046

50. 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



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