Grade Models and Methods for Data Analysis (Studies in Fuzziness and Soft Computing)
Contributors: Teresa Kowalczyk (Editor); Elzbieta Pleszczynska (Editor); Frederick Ruland (Editor)
Edition: 1 edition
Publisher: Springer
Published: June 15, 2004
Language: eng
Format: Hardcover
Number of pages: 480
ISBN-13: 9783540211204
Subjects: Probability & statistics; Probability & Statistics - General; Engineering - General; Mathematics; Technology & Industrial Arts; Science/Mathematics; Technology; Reference; Applied; Analysis of Populations of Data; Categorization of Data; Cluster Analysis; Concentration; Concentration Curve; Concentration Surface; Correspondence Analysis; Detection of Subpopulations; Discretization; Distribution Free; Grade Transformation; Mathematics / Applied; Modeling; Multivariate Data; Outlier Detection; Overrepresentation; Mathematical statistics
First sentence: A data set is like a house: It is not enough to know how many rooms and the number of square feet.