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|a 9780444538581 (hbk.)
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|a QA280
|b .T564 2012
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| 245 |
0 |
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|a Time series analysis :
|b methods and applications /
|c edited by Tata Subba Rao, Suhasini Subba Rao, C.R. Rao.
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| 260 |
|
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|a Amsterdam ;
|a London :
|b North Holland,
|c 2012.
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| 300 |
|
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|a xviii, 755 pages :
|b illustrations ;
|c 24 cm.
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a unmediated
|b n
|2 rdamedia
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| 338 |
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|a volume
|b nc
|2 rdacarrier
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| 490 |
1 |
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|a Handbook of statistics ;
|v v. 30
|
| 504 |
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|a Includes bibliographical references and index.
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| 505 |
0 |
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|a pt. 1. Bootstrap and tests for linearity of a time series. 1. Bootstrap methods for time series / J-P. Kreiss and S. Lahiri -- 2. Testing time series linearity: traditional and bootstrap methods / A. Berg, T. McMurry and D. N. Politis -- 3. The quest for nonlinearity in Time Series / S. Giannerini -- pt. II. Nonlinear time series. 4. Modelling nonlinear and nonstationary time series / D. Tjøstheim -- 5. Markov switching time series models / J. Franke -- 6. A review of robust estimation under conditional heteroscedasticity / K. Mukherjee -- pt. III. High dimensional time series. 7. Functional time series / S. Hörmann and P. Kokoszka -- 8. Covariance matrix estimation in Time Series / W. B. Wu and H. Xiao -- pt. IV. Time series and quantile regression. 9. Time series quantile regressions / Z. Xiao -- pt. V Biostatistical applications. 10. Frequency domain techniques in the analysis of DNA sequences / D. Stoffer -- 11. Spatial time series modelling for fMRI data analysis in neurosciences / T. Ozaki -- 12. Count time series models / K. Fokianos -- pt. VI. Nonstationary time series. 13. Locally stationary processes / R. Dahlhaus -- 14. Analysis of multivariate non-stationary time series using the localised Fourier Library / H. Ombao -- 15. An alternative perspective on stochastic coefficient regression models / S. Subba Rao -- pt. VII. Spatio-Temporal Time Series. 16. Hierarachical Bayesian models for space-time air pollution data / S. Sahu -- 17. Karhunen-Loéve expansion for temporal and spatio-temporal processes / L. Fontanella and L. Ippoliti -- 18. Statistical analysis of spatio-temporal models and their applications / T. Subba Rao and G. Terdik -- pt. VIII. Continuous time series. 19. Lévy-driven time series models for financial data / P. Brockwell and A. Lindner -- 20. Discrete and continuous time extremes of stationary processes / K. F. Turkman -- pt. IX. Spectral and Wavelet Methods. -- 21. The estimation of Frequency / B. G. Quinn -- 22. A wavelet variance primer / D. B. Percival and D. Mondal -- pt. X. Computational methods. 23. Time Series Analysis with R / A. I. McLeod / H. Yu and E. Mahdi.
|
| 650 |
|
0 |
|a Time-series analysis.
|0 http://id.loc.gov/authorities/subjects/sh85135430
|
| 700 |
1 |
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|a Subba Rao, T.
|0 http://id.loc.gov/authorities/names/n84001661
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| 700 |
1 |
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|a Subba Rao, Suhasini.
|0 http://id.loc.gov/authorities/names/nb2012014399
|
| 700 |
1 |
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|a Rao, C. Radhakrishna
|q (Calyampudi Radhakrishna),
|d 1920-2023
|0 http://id.loc.gov/authorities/names/n50054917
|
| 830 |
|
0 |
|a Handbook of statistics (Amsterdam, Netherlands) ;
|v v. 30.
|0 http://id.loc.gov/authorities/names/n42029959
|
| 907 |
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|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Main Library
|d MSU Main Library
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|h Library of Congress classification
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