Optimal kernel estimation of densities /

Optimal kernel estimation of densities /

Precise asymptotic behavior for MISE is determined for sequences of kernel estimators of a density in a broad class, including discontinuous and possibly unbounded densities. The paper shows that the sequence using the kernel optimal at each fixed sample size is asymptotically more efficient than a...

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Bibliographic Details
Main Author: Cline, Daren B. H. (Author)
Corporate Author: National Science Foundation (U.S.) (sponsoring body.)
Format: Book
Language:English
Published: College Station, Texas : Department of Statistics, Texas A & M University, 1989.
Series:Technical report (Texas A & M University. Department of Statistics) ; no. 5.
Subjects:
Kernel functions.
Estimation theory > Asymptotic theory.
Mathematical statistics.
Statistics > Nonparametric inference > Estimation.
Statistics > Nonparametric inference > Density estimation.
Statistics > Nonparametric inference > Asymptotic properties.
Kernel density estimation
Mean integrated squared error (MISE)
Optimal kernel
Regular variation

Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)

Holdings details from Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)
Call Number: QA276.A12 T4 no.5
 
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QA276.A12 T4 no.5 Available