DocumentCode
2473093
Title
Typical values for preclustered data
Author
Kandel, Abraham ; Friedman, Menahem
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
fYear
1995
fDate
20-23 Feb 1995
Firstpage
262
Lastpage
264
Abstract
Quite often, a given data set seems to have a “typical value” although its expected value fails to represent it. In this case, it is suggested to replace the classical “expected value” (EV) and “standard deviation” (SD) by the “weighted expected value” (WEV) and weighted deviation (WD). The WEV which represents the “most typical value” of the given data, is a solution to an associated nonlinear equation. The WD is derived explicitly from the data and the WEV and measures the latter´s “grade of typicality”
Keywords
data handling; nonlinear equations; statistical analysis; associated nonlinear equation; data set; grade of typicality; most typical value; preclustered data; standard deviation; typical values; weighted deviation; weighted expected value; Arithmetic; Computer science; Data engineering; Data structures; Measurement standards; Nonlinear equations; Statistics; TV; Terminology;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-8186-7070-3
Type
conf
DOI
10.1109/CAIA.1995.378814
Filename
378814
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