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Nonparametric estimates of probability densities | IEEE Journals & Magazine | IEEE Xplore

Nonparametric estimates of probability densities


Abstract:

A disadvantage of the kernel estimate of a probability density is that the degree of smoothing about the observation points is chosen without regard to the data. A modifi...Show More

Abstract:

A disadvantage of the kernel estimate of a probability density is that the degree of smoothing about the observation points is chosen without regard to the data. A modification of the kernel estimate is proposed that allows the data to play a role in this smoothing and, at the same time, retains the desirable features of the kernel estimate.
Published in: IEEE Transactions on Information Theory ( Volume: 21, Issue: 4, July 1975)
Page(s): 438 - 440
Date of Publication: 06 January 2003

ISSN Information:


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