Nonparametric Kernel Smoothing Methods. The sm library in Xlisp-Stat
In this paper we describe the Xlisp-Stat version of the sm library, a software for applying nonparametric kernel smoothing methods. The original version of the sm library was written by Bowman and Azzalini in S-Plus, and it is documented in their book Applied Smoothing Techniques for Data Analysis (...
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| Format: | Article |
| Language: | English |
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Foundation for Open Access Statistics
2001-06-01
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| Series: | Journal of Statistical Software |
| Online Access: | http://www.jstatsoft.org/index.php/jss/article/view/2181 |