An edition of Gaussian and Non-Gaussian Linear Time Series and Random Fields
(1999)
Gaussian and Non-Gaussian Linear Time Series and Random Fields
by Murray Rosenblatt
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"This book is concerned with linear time series and random fields in both the Gaussian and especially the non-Gaussian contexts. The principal focus is on autoregressive moving average models and analogous random fields." "The book is intended as a text for graduate students in statistics, mathematics, engineering, the natural sciences, and economics. An initial background in probability and statistics is suggested."--BOOK JACKET.
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Previews available in: English
Subjects
Random fields, Time-series analysis, Gaussian processesShowing 1 featured edition. View all 1 editions?
| Edition | Availability |
|---|---|
1
Gaussian and Non-Gaussian Linear Time Series and Random Fields
December 21, 1999, Springer
in English
038798917X 9780387989174
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Book Details
First Sentence
"Linear Sequences and the Gaussian Property"
Edition Notes
Springer Series in Statistics
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History
- Created April 29, 2008
- 13 revisions
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| July 19, 2024 | Edited by MARC Bot | import existing book |
| March 21, 2024 | Edited by Scott365Bot | Linking back to Internet Archive. |
| May 3, 2023 | Edited by ImportBot | import existing book |
| February 25, 2022 | Edited by ImportBot | import existing book |
| April 29, 2008 | Created by an anonymous user | Imported from amazon.com record |