Gaussian and Non-Gaussian Linear Time Series and Random Fields - Info and Reading Options
By Murray Rosenblatt
"Gaussian and Non-Gaussian Linear Time Series and Random Fields" is published by Springer in December 21, 1999, it has 246 pages and the language of the book is English.
“Gaussian and Non-Gaussian Linear Time Series and Random Fields” Metadata:
- Title: ➤ Gaussian and Non-Gaussian Linear Time Series and Random Fields
- Author: Murray Rosenblatt
- Language: English
- Number of Pages: 246
- Publisher: Springer
- Publish Date: December 21, 1999
“Gaussian and Non-Gaussian Linear Time Series and Random Fields” Subjects and Themes:
- Subjects: Random fields - Time-series analysis - Gaussian processes
Edition Identifiers:
- The Open Library ID: OL7449867M - OL5367831W
- Online Computer Library Center (OCLC) ID: 42061096
- Library of Congress Control Number (LCCN): 99042811
- ISBN-13: 9780387989174
- ISBN-10: 038798917X
- All ISBNs: 038798917X - 9780387989174
AI-generated Review of “Gaussian and Non-Gaussian Linear Time Series and Random Fields”:
Snippets and Summary:
Linear Sequences and the Gaussian Property
"Gaussian and Non-Gaussian Linear Time Series and Random Fields" Description:
The Open Library:
"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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