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Time series analysis : with applications in R
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Fundamental Concepts
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Chapter 3
Trends
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Chapter 4
Models For Stationary Time Series
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Chapter 5
Models For Nonstationary Time Series
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Chapter 6
Model Specification
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Chapter 7
Parameter Estimation
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Chapter 8
Model Diagnostics
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Chapter 9
Forecasting
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Chapter 10
Seasonal Models
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Chapter 11
Time Series Regression Models
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Chapter 12
Time Series Models Of Heteroscedasticity
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Chapter 13
Introduction To Spectral Analysis
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Chapter 14
Estimating The Spectrum
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Chapter 15
Threshold Models
Overall attention for this book and its chapters
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Mentioned by
news
1
news outlet
blogs
1
blog
policy
1
policy source
twitter
39
X users
syllabi
3
institutions with syllabi
googleplus
1
Google+ user
Citations
dimensions_citation
628
Dimensions
Readers on
mendeley
1672
Mendeley
Book overview
1. Introduction
2. Fundamental Concepts
3. Trends
4. Models For Stationary Time Series
5. Models For Nonstationary Time Series
6. Model Specification
7. Parameter Estimation
8. Model Diagnostics
9. Forecasting
10. Seasonal Models
11. Time Series Regression Models
12. Time Series Models Of Heteroscedasticity
13. Introduction To Spectral Analysis
14. Estimating The Spectrum
15. Threshold Models
Summary
News
Blogs
Policy documents
X
Syllabi
Google+
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
7
syllabi from
3
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
The University of Texas at Dallas
2
Business
University of Surrey
1
Unknown
Unknown
4
Law