Basic Data Analysis for Time Series with R
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Published By John Wiley & Sons, Inc.

9781118593233, 9781118422540

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The Modeling Approach Taken in this Book and Some Examples of Typical Serially Correlated Data

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.ch3 ◽

2014 ◽

pp. 18-27

Keyword(s):

Correlated Data ◽

Modeling Approach

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The Autocorrelation Function and AR(1), AR(2) Models

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.ch5 ◽

2014 ◽

pp. 35-50

Keyword(s):

Autocorrelation Function

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The Power Spectrum and the Periodogram

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.ch8 ◽

2014 ◽

pp. 65-78

Keyword(s):

Power Spectrum

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Index

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.index ◽

2014 ◽

pp. 293-299

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Appendix C: A 15-Minute Tutorial on Nonlinear Optimization

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.app3 ◽

2014 ◽

pp. 284-290

Keyword(s):

Nonlinear Optimization

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Christopher Tennant/Ben Crosby Watershed Data

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.ch19 ◽

2014 ◽

pp. 245-250

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Modeling Philosophy and Complete Examples

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.ch16 ◽

2014 ◽

pp. 180-209

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The Yule-Walker Equations and the Partial Autocorrelation Function

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.ch15 ◽

2014 ◽

pp. 169-179

Keyword(s):

Autocorrelation Function ◽

Partial Autocorrelation Function

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The Backshift Operator, the Impulse Response Function, and General ARMA Models

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.ch14 ◽

2014 ◽

pp. 157-168

Keyword(s):

Impulse Response ◽

Response Function ◽

Impulse Response Function ◽

Arma Models

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Model Selection and Cross-Validation

Basic Data Analysis for Time Series with R ◽

10.1002/9781118593233.ch11 ◽

2014 ◽

pp. 98-114

Keyword(s):

Model Selection ◽

Cross Validation

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