An Extension of the Traditional Classication Rules: the Case of Non-Random Samples

The paper deals with an heuristic generalization of the traditional classication rules by incorporating within sample dependencies. The main motivation behind this generalization is to develop a new classication rule when training samples are not random, but, jointly equicorrelated.

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Authors:	Roy, Anuradha ; Leiva, Ricardo
Institutions:	College of Business, University of Texas-San Antonio
Subject:	Classication rules \| Non-random samples \| Jointly equicorrelated training vectors

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Extent:	application/pdf
Series:	Working Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	The price is Free Number 0057 14 pages
Classification:	C30 - Econometric Methods: Multiple/Simultaneous Equation Models. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005036742