Time series analysis
with applications in R
2nd ed.
Our rough guess is there are 122,750 words in this book.
At a pace averaging 250 words per minute, this book will take 8 hours and 11 minutes to read. With a half hour per day, this will take 17 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.
Author
Contributions
- Chan, Kung-sik. - Contributor
Publication
2008 - Springer, New York, New York (State)
Language
English
Word Count
122,750 words, Guess
Page Count
491 pages
Identifiers
- Open LibraryOL23159028M
- Internet Archivetimeseriesanalys00crye_090
- Internet Archivestatesconsciousn00koko
- Internet Archivetimeseriesanalys00crye
- Internet Archiveintroductorystat00crye
and 11 more
- Internet Archivemodernmultivaria00crye
- Internet Archivetimeseriesanalys0000crye
- ISBN-139780387759586
- ISBN-100387759581
- ISBN-10038775959X
- ISBN-139780387759593
- Goodreads2765719
- Library of Congress Control Number2008923058
- OCLC Control Number191760003
- Better World Books9780387759586
- Better World Books9780387759593
Classifications
- DDC519.55/0285
- LCCQA280 .C78 2008
- LCCQA273.A1-274.9QA274-
and 1 more
- LCCQA273.A1-274.9
Description
This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.
Subjects
Topics
Times
Other Editions
- Time series analysis: with applications in R
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!