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An Application of the Orthogonal Series Estimators in the Classification Of Mixed Variables

✍ Scribed by T. Wojciechowski

Publisher: John Wiley and Sons
Year: 1988
Tongue: English
Weight: 337 KB
Volume: 30
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710300808

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✦ Synopsis

Guppose we have two general populations n,, z2. Each object belonging to the population q, i = l , 2 is characterized by a random vector X'=(Z, Y), where 2 is discrete and Y is continuous. o n a certain element which is a member of a one of the two populations a realization 3~;) = (z;, @A) of the random vector X has been observed and we want to classify that element. One of the possible methods of doing it is to estimate the density functions of X in q and n2 end construct anestimated classification rule. In this paper the density estimates based on the orthogonal series (HALL, 1983) will be employed and the classification rule will be examined on a practical example.

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