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September, 1983 Orthogonal Series Methods for Both Qualitative and Quantitative Data
Peter Hall
Ann. Statist. 11(3): 1004-1007 (September, 1983). DOI: 10.1214/aos/1176346268

Abstract

We introduce and describe orthogonal series methods for estimating the density of qualitative, quantitative or mixed data. The techniques are completely nonparametric in character, and so may be used in situations where parametric models are difficult to construct. Just this situation arises in the context of mixed--both qualitative and quantitative--data, where there are few parametric models.

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Peter Hall. "Orthogonal Series Methods for Both Qualitative and Quantitative Data." Ann. Statist. 11 (3) 1004 - 1007, September, 1983. https://doi.org/10.1214/aos/1176346268

Information

Published: September, 1983
First available in Project Euclid: 12 April 2007

zbMATH: 0515.62036
MathSciNet: MR707952
Digital Object Identifier: 10.1214/aos/1176346268

Subjects:
Primary: 62G05
Secondary: 62E20

Keywords: ‎classification‎ , cross-validation , density estimator , discrete data , discrimination , near neighbour , orthogonal series , qualitative data , smoothing

Rights: Copyright © 1983 Institute of Mathematical Statistics

Vol.11 • No. 3 • September, 1983
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