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Time Series Analysis with Applications in R (Cryer)


 
 
 Author(s)  Jonathan D. Cryer
 Kung-Sik Chan
 Title  Time Series Analysis with Applications in R
 Edition  Second
 Year  2008
 Publisher  Springer
 ISBN  978-0-387-75958-6
 Website  www.stat.uiowa.edu/~kchan/TSA.htm (author)
 www.springer.com (publisher)
 




Table of Contents


Chapter 1: Introduction


Chapter 2: Fundamental Concepts


Chapter 3: Trends


Chapter 4: Models For Stationary Time Series


Chapter 5: Models For Nonstationary Time Series


Chapter 6: Model Specification


Chapter 7: Parameter Estimation


Chapter 8: Model Diagnostics


Chapter 9: Forecasting


Chapter 10: Seasonal Models


Chapter 11: Time Series Regression Models


Chapter 12: Time Series Models Of Heteroscedasticity


Chapter 13: Introduction To Spectral Analysis


Chapter 14: Estimating The Spectrum


Chapter 15: Threshold Models


Chapter 16 Appendix: An Introduction to R


Dataset Information

Bibliography

Index



 
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