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Topic Area: Statistics
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Displaying records 31 to 40 of 107 records.
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31. Simultaneous Estimation and Reduction of Nonconformity in Interlaboratory Studies
Topic: Statistics
Published: 8/8/2012
Authors: Andrew L Rukhin, William E Strawderman
Abstract: Several procedures designed to reduce nonconformity in interlaboratory studies by shrinking data toward a consensus weighted mean are suggested. Some of them are shown to have a smaller quadratic risk than the vector sample mean. Shrinkage toward a w ...

32. 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 ...

33. Conformance of Image Features to Classifier Assumptions
Topic: Statistics
Published: 7/27/2012
Authors: Julien Marc Amelot, Peter Bajcsy, Mary C Brady
Abstract: Cell measurements are derived frequently from the results of pixel classification and contiguous region segmentation of microscopy images. Image segmentation is accomplished by classifying image pixels based on high dimensional image features com ...

34. Alternative analyses of the measurements of Planck Constant
Topic: Statistics
Published: 7/5/2012
Author: Blaza Toman
Abstract: We compare different methods for the adjustment of the Planck constant using recent, inconsistent data. First we discuss the popular Birge ratio method. By stating the underlying statistical model we critically assess and modify this method. We the ...

35. Incorporating Attribute Value Uncertainty into Decision Analysis
Topic: Statistics
Published: 5/28/2012
Authors: Dennis D Leber, Jeffery W Herrmann
Abstract: Attribute value uncertainty is present in a decision when the consequences are characterized by uncertain estimates of the underlying, unknown true values. Attributes defined based upon measurement data, experimental data, or survey data are subject ...

36. Algorithm validation using multicolor phantoms
Topic: Statistics
Published: 5/9/2012
Author: Daniel Victor Samarov
Abstract: We present a framework for hyperspectral image (HSI) analysis validation, specifically abundance fraction estimation based on HSI measurements of water soluble dye mixtures printed on microarray chips. In our work we focus on the performance of tw ...

37. Pivotal Methods in the Propagation of Distributions
Topic: Statistics
Published: 4/24/2012
Authors: Chih-Ming 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 ...

38. 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.

39. A Bayesian Approach to the Evaluation of Comparisons of Individually Value-Assigned Reference Materials
Topic: Statistics
Published: 3/3/2012
Author: Blaza Toman
Abstract: A new data analysis procedure is presented for the evaluation of comparisons of reference materials individually prepared and value-assigned by different organizations to measurements made in a single laboratory under repeatability measurements. Th ...

40. 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 ...

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