Smoothing techniques : with implementation in S /

Smoothing techniques : with implementation in S /

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The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of d...

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Bibliographic Details
Main Authors: Härdle, Wolfgang, Härdle, Wolfgang
Format: Book
Language:English
Published: New York : Springer-Verlag, 1991
New York : c1991
Series:Springer series in statistics
Springer series in statistics
Subjects:
Mathematical statistics > Data processing
Smoothing (Statistics)
Mathematical Computing
Statistics

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Stanford University

Holdings details from Stanford University
Call Number: ISIL:US-CST
QA278 .H348 1990

Massachusetts Institute of Technology

Holdings details from Massachusetts Institute of Technology
Call Number: QA278.H348 1991

Johns Hopkins University

Holdings details from Johns Hopkins University
Call Number: QA 278 .H348 1991

Harvard University

Holdings details from Harvard University
Call Number: QA278 .H348 1990

Duke University

Holdings details from Duke University
Call Number: QA278 .H348 1990

Cornell University

Holdings details from Cornell University
Call Number: QA278 .H26
QA278 .H348x 1991

Princeton University

Holdings details from Princeton University
Call Number: QA278 .H348 1990

Brown University

Holdings details from Brown University
Call Number: QA278 .H348 1991

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