Bayesian Spectrum Analysis and Parameter Estimation:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1988
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Schriftenreihe: | Lecture Notes in Statistics
48 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | This work is essentially an extensive revision of my Ph.D. dissertation, [1]. It is primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; consequently, we have included a great deal of introductory and tutorial material. Any person with the equivalent of the mathematics background required for the graduatelevel study of physics should be able to follow the material contained in this book, though not without effort. From the time the dissertation was written until now (approximately one year) our understanding of the parameter estimation problem has changed extensively. We have tried to incorporate what we have learned into this book. I am indebted to a number of people who have aided me in preparing this document: Dr. C. Ray Smith, Steve Finney, Juana Sunchez, Matthew Self, and Dr. Pat Gibbons who acted as readers and editors. In addition, I must extend my deepest thanks to Dr. Joseph Ackerman for his support during the time this manuscript was being prepared |
Beschreibung: | 1 Online-Ressource (XII, 209 p) |
ISBN: | 9781468493993 9780387968711 |
ISSN: | 0930-0325 |
DOI: | 10.1007/978-1-4684-9399-3 |
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Datensatz im Suchindex
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any_adam_object | |
author | Bretthorst, G. Larry |
author_facet | Bretthorst, G. Larry |
author_role | aut |
author_sort | Bretthorst, G. Larry |
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dewey-search | 519.5 |
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discipline | Mathematik |
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spelling | Bretthorst, G. Larry Verfasser aut Bayesian Spectrum Analysis and Parameter Estimation by G. Larry Bretthorst New York, NY Springer New York 1988 1 Online-Ressource (XII, 209 p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 48 0930-0325 This work is essentially an extensive revision of my Ph.D. dissertation, [1]. It is primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; consequently, we have included a great deal of introductory and tutorial material. Any person with the equivalent of the mathematics background required for the graduatelevel study of physics should be able to follow the material contained in this book, though not without effort. From the time the dissertation was written until now (approximately one year) our understanding of the parameter estimation problem has changed extensively. We have tried to incorporate what we have learned into this book. I am indebted to a number of people who have aided me in preparing this document: Dr. C. Ray Smith, Steve Finney, Juana Sunchez, Matthew Self, and Dr. Pat Gibbons who acted as readers and editors. In addition, I must extend my deepest thanks to Dr. Joseph Ackerman for his support during the time this manuscript was being prepared Statistics Statistics, general Statistik Parameterschätzung (DE-588)4044614-1 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd rswk-swf Spektralanalyse Stochastik (DE-588)4056125-2 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Wahrscheinlichkeitsrechnung (DE-588)4064324-4 s Parameterschätzung (DE-588)4044614-1 s 2\p DE-604 Bayes-Verfahren (DE-588)4204326-8 s 3\p DE-604 Spektralanalyse Stochastik (DE-588)4056125-2 s 4\p DE-604 Bayes-Entscheidungstheorie (DE-588)4144220-9 s 5\p DE-604 Lecture Notes in Statistics 48 (DE-604)BV036592911 48 https://doi.org/10.1007/978-1-4684-9399-3 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Bretthorst, G. Larry Bayesian Spectrum Analysis and Parameter Estimation Lecture Notes in Statistics Statistics Statistics, general Statistik Parameterschätzung (DE-588)4044614-1 gnd Bayes-Verfahren (DE-588)4204326-8 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Spektralanalyse Stochastik (DE-588)4056125-2 gnd |
subject_GND | (DE-588)4044614-1 (DE-588)4204326-8 (DE-588)4144220-9 (DE-588)4064324-4 (DE-588)4056125-2 (DE-588)4113937-9 |
title | Bayesian Spectrum Analysis and Parameter Estimation |
title_auth | Bayesian Spectrum Analysis and Parameter Estimation |
title_exact_search | Bayesian Spectrum Analysis and Parameter Estimation |
title_full | Bayesian Spectrum Analysis and Parameter Estimation by G. Larry Bretthorst |
title_fullStr | Bayesian Spectrum Analysis and Parameter Estimation by G. Larry Bretthorst |
title_full_unstemmed | Bayesian Spectrum Analysis and Parameter Estimation by G. Larry Bretthorst |
title_short | Bayesian Spectrum Analysis and Parameter Estimation |
title_sort | bayesian spectrum analysis and parameter estimation |
topic | Statistics Statistics, general Statistik Parameterschätzung (DE-588)4044614-1 gnd Bayes-Verfahren (DE-588)4204326-8 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Spektralanalyse Stochastik (DE-588)4056125-2 gnd |
topic_facet | Statistics Statistics, general Statistik Parameterschätzung Bayes-Verfahren Bayes-Entscheidungstheorie Wahrscheinlichkeitsrechnung Spektralanalyse Stochastik Hochschulschrift |
url | https://doi.org/10.1007/978-1-4684-9399-3 |
volume_link | (DE-604)BV036592911 |
work_keys_str_mv | AT bretthorstglarry bayesianspectrumanalysisandparameterestimation |