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Introductory Time Series with R
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Time Series Data
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Chapter 2
Correlation
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Chapter 3
Forecasting Strategies
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Chapter 4
Basic Stochastic Models
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Chapter 5
Regression
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Chapter 6
Stationary Models
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Chapter 7
Non-stationary Models
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Chapter 8
Long-Memory Processes
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Chapter 9
Spectral Analysis
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Chapter 10
System Identification
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Chapter 11
Multivariate Models
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Chapter 12
State Space Models
Overall attention for this book and its chapters
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Mentioned by
news
2
news outlets
blogs
1
blog
twitter
63
X users
syllabi
2
institutions with syllabi
facebook
1
Facebook page
Citations
dimensions_citation
200
Dimensions
Readers on
mendeley
1191
Mendeley
Book overview
1. Time Series Data
2. Correlation
3. Forecasting Strategies
4. Basic Stochastic Models
5. Regression
6. Stationary Models
7. Non-stationary Models
8. Long-Memory Processes
9. Spectral Analysis
10. System Identification
11. Multivariate Models
12. State Space Models
Summary
News
Blogs
X
Syllabi
Facebook
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
4
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Plymouth
1
Unknown
Unknown
3
Unknown