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Hermite series estimates of a probability density and its derivatives

✍ Scribed by Wκodzimierz Greblicki; Mirosκaw Pawlak


Publisher
Elsevier Science
Year
1984
Tongue
English
Weight
328 KB
Volume
15
Category
Article
ISSN
0047-259X

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## Abstract Nonparametric density estimates attempt to reconstruct the probability density from which a random sample has come, using the sample values and as few assumptions as possible about the density. These methods are smoothing operations on the sample distribution. Methods of kernel estimate