Description: Maximum Penalized Likelihood Estimation : Density Estimation, Hardcover by Eggermont, Paul; Lariccia, Vincent N., ISBN 0387952683, ISBN-13 9780387952680, Like New Used, Free shipping in the US 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.
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Book Title: Maximum Penalized Likelihood Estimation : Density Estimation
Number of Pages: Xviii, 512 Pages
Publication Name: Maximum Penalized Likelihood Estimation Vol. 1 : Density Estimation
Language: English
Publisher: Springer New York
Publication Year: 2001
Subject: Probability & Statistics / Stochastic Processes, Probability & Statistics / General, Operations Research
Type: Textbook
Item Weight: 71.3 Oz
Subject Area: Mathematics, Business & Economics
Author: P. P. B. Eggermont, V. N. Lariccia
Item Length: 9.3 in
Item Width: 6.1 in
Series: Springer Series in Statistics Ser.
Format: Hardcover
