Lecture Notes in Statistics

Bayesian Spectrum Analysis and Parameter Estimation

Authors: Bretthorst, G. Larry

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About this book

This work is essentially an extensive revision of my Ph.D. dissertation, [1J. It 1S 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 graduate­ level study of physics should be able to follow the material contained in this book, though not without eIfort. 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 docu­ ment: 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.

Table of contents (8 chapters)

Buy this book

eBook 74,96 €
price for Spain (gross)
  • ISBN 978-1-4684-9399-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 93,59 €
price for Spain (gross)
  • ISBN 978-0-387-96871-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Bayesian Spectrum Analysis and Parameter Estimation
Authors
Series Title
Lecture Notes in Statistics
Series Volume
48
Copyright
1988
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-1-4684-9399-3
DOI
10.1007/978-1-4684-9399-3
Softcover ISBN
978-0-387-96871-1
Series ISSN
0930-0325
Edition Number
1
Number of Pages
XII, 209
Topics