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Maximum Penalized Likelihood Estimation
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Author : P.P.B. Eggermont
language : en
Publisher: Springer Nature
Release Date : 2020-12-15
Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Mathematics categories.
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.
Maximum Penalized Likelihood Estimation
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Author :
language : en
Publisher:
Release Date : 2009
Maximum Penalized Likelihood Estimation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Estimation theory categories.
Maximum Penalized Likelihood Estimation
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Author : P.P.B. Eggermont
language : en
Publisher: Springer
Release Date : 2001-06-21
Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-21 with Mathematics categories.
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.
Maximum Penalized Likelihood Estimation
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AUDIOBOOK
READ ONLINE
Author : P.P.B. Eggermont
language : en
Publisher: Springer
Release Date : 2001-06-21
Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-21 with Mathematics categories.
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.
Maximum Penalized Likelihood Estimation
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AUDIOBOOK
READ ONLINE
Author : P.P.B. Eggermont
language : en
Publisher: Springer
Release Date : 2001-06-21
Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-21 with Mathematics categories.
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.
Maximum Penalized Likelihood Estimation Regression
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Author : Paulus Petrus Bernardus Eggermont
language : en
Publisher:
Release Date : 2001
Maximum Penalized Likelihood Estimation Regression written by Paulus Petrus Bernardus Eggermont and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Estimation theory categories.
Maximum Penalized Likelihood Estimation
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Author : P.P.B. Eggermont
language : en
Publisher: Springer
Release Date : 2010-12-03
Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-03 with Mathematics categories.
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.
Maximum Penalized Likelihood Estimation
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Author : Shih-hung Yü
language : en
Publisher:
Release Date : 1997
Maximum Penalized Likelihood Estimation written by Shih-hung Yü and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Algorithms categories.
Maximum Penalized Likelihood Estimation
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Author : Paul P. Eggermont
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-02
Maximum Penalized Likelihood Estimation written by Paul P. Eggermont and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-02 with Mathematics categories.
Unique blend of asymptotic theory and small sample practice through simulation experiments and data analysis. Novel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials. Leading to uniform error bounds and honest confidence bands for the mean function using smoothing splines Exhaustive exposition of algorithms, including the Kalman filter, for the computation of smoothing splines of arbitrary order.
The Frailty Model
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Author : Luc Duchateau
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-23
The Frailty Model written by Luc Duchateau and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-23 with Mathematics categories.
Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyze clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyze clustered survival data. All programs used for these examples are available on the Springer website.