Time series analysis : with applications in R / Jonathan D. Cryer, Kung-Sik Chan.
By: Cryer, Jonathan D
Contributor(s): Chan, Kung-sik
Language: İngilizce Series: Springer texts in statisticsPublisher: New York : Springer, c2008Edition: 2nd edDescription: xiii, 491 p. : ill., map ; 25 cmISBN: 9780387759586 (acid-free paper); 0387759581 (acid-free paper)Subject(s): R (Computer program language) | Zaman serileri analizi -- Veri işleme | Time-series analysis -- Data processingLOC classification: QA280 | .C78 2008Online resources: cover image
Contents:
Introduction -- Fundamental concepts -- Trends -- Models for stationary time series -- Models for nonstationary time series -- Model specification -- Parameter estimation -- Model diagnostics -- Forecasting -- Seasonal models -- Time series regression models -- Time series models of heteroscedasticity -- Introduction to spectral analysis -- Estimating the spectrum -- Threshold models -- Appendix: an introduction to R.
| Item type | Current location | Home library | Collection | Call number | Vol info | Copy number | Status | Date due | Barcode |
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Merkez Kütüphane Genel Koleksiyon / Main Collection | Merkez Kütüphane | Genel Koleksiyon | QA280 .C78 2008 (Browse shelf) | 1 | 1 | Available | 0032361 |
Browsing Merkez Kütüphane Shelves , Shelving location: Genel Koleksiyon / Main Collection , Collection code: Genel Koleksiyon Close shelf browser
| QA280 .C4 1980 The analysis of time series : an introduction / | QA280 .C66 2001 A course in time series analysis / | QA280 .C69 2009 Introductory time series with R / | QA280 .C78 2008 Time series analysis : with applications in R / | QA280 .D87 2001 Time series analysis by state space methods / | QA280 .H264 1994 Time series analysis / | QA280 .H375 2003 Applied time series modelling and forecasting / |
Introduction -- Fundamental concepts -- Trends -- Models for stationary time series -- Models for nonstationary time series -- Model specification -- Parameter estimation -- Model diagnostics -- Forecasting -- Seasonal models -- Time series regression models -- Time series models of heteroscedasticity -- Introduction to spectral analysis -- Estimating the spectrum -- Threshold models -- Appendix: an introduction to R.
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