Maximum Penalized Likelihood Estimation - Volume I: Density Estimation (Paperback, Softcover reprint of hardcover 1st ed. 2001)

This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	December 2010
First published:	2001
Authors:	P.P.B. Eggermont • Vincent N. Lariccia
Dimensions:	235 x 155 x 27mm (L x W x T)
Format:	Paperback
Pages:	512
Edition:	Softcover reprint of hardcover 1st ed. 2001
ISBN-13:	978-1-4419-2928-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management & management techniques > Operational research
LSN:	1-4419-2928-2
Barcode:	9781441929280

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