Verfügbarkeit: Nonparametric probability density estimation

Nonparametric probability density estimation:

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Bibliographische Detailangaben
Beteiligte Personen:	Tapia, Richard A. (VerfasserIn), Thompson, James R. 1938-2017 (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Baltimore, MD Johns Hopkins Univ. Press 1978
Schriftenreihe:	Johns Hopkins series in the mathematical sciences 1
Schlagwörter:	Distribution (Théorie des probabilités) Estimation, Théorie de l' Estimation, théorie de l' Statistique non-paramétrique Statistique nonparamétrique Distribution (Probability theory) Estimation theory Nonparametric statistics Schätzung Schätztheorie Dichte > Stochastik
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001510031&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	XI, 176 S. graph. Darst.
ISBN:	0801820316

Internformat

MARC


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Datensatz im Suchindex

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adam_text	Contents PREFACE ix ACKNOWLEDGMENTS xi chapter 1. Historical Background 1 1.1. Moses as a Statistician 1 1.2. The Haberdasher and the Histogram 2 1.3. The Pearson Distributions 5 1.4. Density Estimation by Classical Maximum Likelihood 13 chapter 2. Some Approaches to Nonparametric Density Estimation 24 2.1. The Normal Distribution as Universal Density 24 2.2. The Johnson Family of Distributions 30 2.3. The Symmetric Stable Distributions 33 2.4. Series Estimators 36 2.5. Kernel Estimators 44 chapter 3. Maximum Likelihood Density Estimation 92 3.1. Maximum Likelihood Estimators 92 3.2. The Histogram as a Maximum Likelihood Estimator 95 3.3. The Infinite Dimensional Case 99 chapter 4. Maximum Penalized Likelihood Density Estimation 102 4.1. Maximum Penalized Likelihood Estimators 102 4.2. The de Montricher Tapia Thompson Estimator 106 4.3. The First Estimator of Good and Gaskins 108 4.4. The Second Estimator of Good and Gaskins 114 chapter 5. Discrete Maximum Penalized Likelihood Estimation 121 5.1. Discrete Maximum Penalized Likelihood Estimators 121 5.2. Consistency Properties of the DMPLE 124 5.3. Numerical Implementation and Monte Carlo Simulation 129 vii Viii CONTENTS appendix I. An Introduction to Mathematical Optimization Theory 146 1.1. Hilbert Space 146 1.2. Reproducing Kernel Hilbert Spaces 152 1.3. Convex Functional and Differential Characterizations 154 1.4. Existence and Uniqueness of Solutions for Optimization Problems in Hilbert Space 160 1.5. Lagrange Multiplier Necessity Conditions 163 appendix II. Numerical Solution of Constrained Optimization Problems 166 ILL The Diagonalized Multiplier Method 166 II.2. Optimization Problems with Nonnegativity Constraints 170 INDEX 173
any_adam_object	1
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language	English
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publisher	Johns Hopkins Univ. Press
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series	Johns Hopkins series in the mathematical sciences
series2	Johns Hopkins series in the mathematical sciences
spellingShingle	Tapia, Richard A. Thompson, James R. 1938-2017 Nonparametric probability density estimation Johns Hopkins series in the mathematical sciences Distribution (Théorie des probabilités) Distribution (Théorie des probabilités) ram Estimation, Théorie de l' Estimation, théorie de l' ram Statistique non-paramétrique Statistique nonparamétrique ram Distribution (Probability theory) Estimation theory Nonparametric statistics Schätzung (DE-588)4193791-0 gnd Schätztheorie (DE-588)4121608-8 gnd Dichte Stochastik (DE-588)4139581-5 gnd
subject_GND	(DE-588)4193791-0 (DE-588)4121608-8 (DE-588)4139581-5
title	Nonparametric probability density estimation
title_auth	Nonparametric probability density estimation
title_exact_search	Nonparametric probability density estimation
title_full	Nonparametric probability density estimation Richard A. Tapia ; James R. Thompson
title_fullStr	Nonparametric probability density estimation Richard A. Tapia ; James R. Thompson
title_full_unstemmed	Nonparametric probability density estimation Richard A. Tapia ; James R. Thompson
title_short	Nonparametric probability density estimation
title_sort	nonparametric probability density estimation
topic	Distribution (Théorie des probabilités) Distribution (Théorie des probabilités) ram Estimation, Théorie de l' Estimation, théorie de l' ram Statistique non-paramétrique Statistique nonparamétrique ram Distribution (Probability theory) Estimation theory Nonparametric statistics Schätzung (DE-588)4193791-0 gnd Schätztheorie (DE-588)4121608-8 gnd Dichte Stochastik (DE-588)4139581-5 gnd
topic_facet	Distribution (Théorie des probabilités) Estimation, Théorie de l' Estimation, théorie de l' Statistique non-paramétrique Statistique nonparamétrique Distribution (Probability theory) Estimation theory Nonparametric statistics Schätzung Schätztheorie Dichte Stochastik
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001510031&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV000016231
work_keys_str_mv	AT tapiaricharda nonparametricprobabilitydensityestimation AT thompsonjamesr nonparametricprobabilitydensityestimation

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