Density Estimation
Sheather, Simon J.
Statist. Sci., Tome 19 (2004) no. 1, p. 588-597 / Harvested from Project Euclid
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This paper provides a practical description of density estimation based on kernel methods. An important aim is to encourage practicing statisticians to apply these methods to data. As such, reference is made to implementations of these methods in R, S-PLUS and SAS.
Publié le : 2004-11-14
Classification:  Kernel density estimation,  bandwidth selection,  local likelihood density estimates,  data sharpening 
@article{1113832723,
     author = {Sheather, Simon J.},
     title = {Density Estimation},
     journal = {Statist. Sci.},
     volume = {19},
     number = {1},
     year = {2004},
     pages = { 588-597},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1113832723}
}

Sheather, Simon J. Density Estimation. Statist. Sci., Tome 19 (2004) no. 1, pp.  588-597. http://gdmltest.u-ga.fr/item/1113832723/