Kernel Density Estimation: Theory and Application in Discriminant Analysis
Nowadays, one can find a huge set of methods to estimate the density function of a random variable nonparametrically. Since the first version of the most elementary nonparametric density estimator (the histogram) researchers produced a vast amount of ideas especially corresponding to the issue of ch...
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Format: | Article |
Language: | English |
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Austrian Statistical Society
2016-04-01
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Series: | Austrian Journal of Statistics |
Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/441 |