Gaussian and Non-Gaussian Linear Time Series and Random Fields
Our rough guess is there are 61,500 words in this book.
At a pace averaging 250 words per minute, this book will take 4 hours and 6 minutes to read. With a half hour per day, this will take 8 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Word Count
61,500 words, Guess
Page Count
246 pages
Identifiers
- Open LibraryOL7449867M
- ISBN-139780387989174
- ISBN-10038798917X
- OCLC Control Number42061096
- OCLC Control Numbergaussiannongauss0000rose
and 3 more
- Library of Congress Control Number99042811
- Goodreads3715607
- LibraryThing5164728
Classifications
- LCCQA280 .R668 2000
Description
"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.
First Sentence
Linear Sequences and the Gaussian Property
Subjects
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!