Maximum Penalized Likelihood Estimation : Volume I: Density Estimation
Softcover reprint of hardcover 1st ed. 2001
Book Details
Format
Paperback / Softback
Book Series
Springer Series in Statistics
ISBN-10
1441929282
ISBN-13
9781441929280
Edition
Softcover reprint of hardcover 1st ed. 2001
Publisher
Springer-Verlag New York Inc.
Imprint
Springer-Verlag New York Inc.
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 3rd, 2010
Print length
512 Pages
Product Classification:
Management decision makingOperational researchProbability & statisticsProbability and statistics
Ksh 32,400.00
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Good's roughness penalization, monotone and unimodal density estimation, asymptotic optimality of generalized cross validation for spline smoothing and analogous methods for ill-posed least squares problems, and convergence proofs of EM algorithms for random sampling problems.
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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