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Time Series [Chapman & Hall/CRC Texts in Statistical Science]

Big River Books
  • (363615)
US $68.57
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Last updated on Jun 29, 2024 19:09:59 PDTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
ISBN
9780367221096
Subject Area
Computers, Mathematics
Publication Name
Time Series : a Data Analysis Approach Using R
Publisher
CRC Press LLC
Item Length
9.4 in
Subject
Programming Languages / General, Probability & Statistics / General, Probability & Statistics / Time Series
Publication Year
2018
Series
Chapman and Hall/Crc Texts in Statistical Science Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.9 in
Author
David Stoffer, Robert Shumway
Item Weight
15.3 Oz
Item Width
6.4 in
Number of Pages
272 Pages

About this product

Product Information

This textbook is designed for an introductory time series course where the prerequisites are an understanding of linear regression and some basic probability skills. All of the numerical examples were done using the R statistical package, and the code is typically listed at the end of an example.

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
0367221098
ISBN-13
9780367221096
eBay Product ID (ePID)
2309310264

Product Key Features

Number of Pages
272 Pages
Language
English
Publication Name
Time Series : a Data Analysis Approach Using R
Publication Year
2018
Subject
Programming Languages / General, Probability & Statistics / General, Probability & Statistics / Time Series
Type
Textbook
Subject Area
Computers, Mathematics
Author
David Stoffer, Robert Shumway
Series
Chapman and Hall/Crc Texts in Statistical Science Ser.
Format
Hardcover

Dimensions

Item Height
0.9 in
Item Weight
15.3 Oz
Item Length
9.4 in
Item Width
6.4 in

Additional Product Features

Intended Audience
College Audience
LCCN
2019-018441
Reviews
"The intended audience of the book are mathematics undergraduates taking a one semester course on time series. . . The authors frame learning time series primarily by extending concepts from linear models. Personally, I favour this approach, since it allows the book to clearly signpost similarities and differences between concepts in both topics and provides a natural learning progression from what most undergraduate students will already be familiar with . . .This book successfully delivers a practical tool-based approach to time series analysis at an introductory level, complementing the existing texts from the authors, which are aimed at a more advanced audience." ~Matthew Nunes, Journal Times Series Analysis
Illustrated
Yes
Lc Classification Number
Qa280.S5845 2019
Table of Content
1. Time Series Characteristics. 2. Time Series Regression and EDA. 3. ARIMA Models. 4. Spectral Analysis and Filtering. 5. Some Additional Topics.
Copyright Date
2019

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Big River Books

Big River Books

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