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Characterization of a maximum-likelihood nonparametric density estimator of kernel typeKernel type density estimators calculated by the method of sieves. Proofs are presented for the characterization theorem: Let x(1), x(2),...x(n) be a random sample from a population with density f(0). Let sigma 0 and consider estimators f of f(0) defined by (1).
Document ID
19830007506
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Geman, S.
(Brown Univ. Providence, RI, United States)
Mcclure, D. E.
(Brown Univ. Providence, RI, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1982
Publication Information
Publication: Texas A and M Univ. Proc. of the NASA Workshop on density Estimation and Function Smoothing
Subject Category
Earth Resources And Remote Sensing
Accession Number
83N15777
Funding Number(s)
CONTRACT_GRANT: DAAG-80-K-0006
CONTRACT_GRANT: AF-AFOSR-3514-78
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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