نتایج جستجو برای: quantitative data

تعداد نتایج: 2630539  

2003
Brian Castellani John Castellani S. Lee Spray

© 2003 by the Society for the Study of Symbolic Interaction. All rights reserved. Send requests for permission to reprint to: Rights and Permissions, University of California Press, Journals Division, 2000 Center St., Ste. 303, Berkeley, CA 94704-1223. Direct all correspondence to Brian Castellani, Department of Sociology, Kent State University, 3325 West 13th Street, Ashtabula, OH 44004; e-mai...

2005
Guillaume Langelier Houari A. Sahraoui Pierre Poulin

Position. In this position paper, we claim that automatic techniques are limited in the context of quality analysis. We present a semi-automatic approach for quality analysis based on visualization.

2008
Joseph M. Hellerstein

Data collection has become a ubiquitous function of large organizations – not only for record keeping, but to support a variety of data analysis tasks that are critical to the organizational mission. Data analysis typically drives decision-making processes and efficiency optimizations, and in an increasing number of settings is the raison d’etre of entire agencies or firms. Despite the importan...

Journal: :Journal of applied physiology 2007
Loring B Rowell

This Viewpoint addresses two issues in comparing data from humans and animals in studies of cardiovascular physiology: 1) accuracy of methods and 2) limits in extrapolating data from one species to another. You are invited to submit a brief commentary on this Viewpoint, which will be reviewed by Journal of Applied Physiology editors for possible publication in the Journal. Please limit your com...

2011
Tomonari Sei

We propose a new parametric model for continuous data, a “g-model”, on the basis of gradient maps of convex functions. It is known that any multivariate probability density on the Euclidean space is uniquely transformed to any other density by using the gradient map of a convex function. Therefore the statistical modeling for quantitative data is equivalent to design of the gradient maps. The e...

Journal: :Bioinformatics 2005
Elisabeth Georgii Lothar Richter Ulrich Rückert Stefan Kramer

MOTIVATION We tackle the problem of finding regularities in microarray data. Various data mining tools, such as clustering, classification, Bayesian networks and association rules, have been applied so far to gain insight into gene-expression data. Association rule mining techniques used so far work on discretizations of the data and cannot account for cumulative effects. In this paper, we inve...

Journal: :Bioinformatics 2002
Adam B. Olshen Ajay N. Jain

MOTIVATION The last few years have seen the development of DNA microarray technology that allows simultaneous measurement of the expression levels of thousands of genes. While many methods have been developed to analyze such data, most have been visualization-based. Methods that yield quantitative conclusions have been diverse and complex. RESULTS We present two straightforward methods for id...

2010
Christopher L. Farrow Chong-Yu Ruan Simon J. L. Billinge

Christopher L. Farrow,1 Chong-Yu Ruan,2 and Simon J. L. Billinge1,3,* 1Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, USA 2Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA 3Condensed Matter Physics and Materials Science Department, Brookhaven National Laboratory, Upton, New York 11973, USA Re...

Journal: :Annual review of psychology 2003
Dean Keith Simonton

Although the typical study in psychology involves the quantitative analysis of contemporary research participants, occasionally psychologists will study historical persons or events. Moreover, these historical data may be analyzed using either qualitative or quantitative techniques. After giving examples from the subdisciplines of cognitive, developmental, differential, abnormal, and social psy...

2007
Y. M. Kim E. C. Johnson O. Esquivel

A new method for analyzing eddy current inspection data is presented. The key concept behind this method is extraction and isolation of the sample response from the measured signal. The measured signal depends on many factors including, not only the characteristics of the probe itself, the sample material, the operation frequency, and the probe/sample geometry, but also the measurement instrume...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید