03502nam a2200445 i 4500991002664329707536150127s2012 ne a b 001 0 eng d9780444538581 (hbk.)0444538585 (hbk.)b14212651-39ule_instBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematicaeng519.5523AMS 62-06AMS 62-00AMS 62M10Time series analysis :methods and applications /edited by Tata Subba Rao, Suhasini Subba Rao, C.R. RaoAmsterdam ;London :North Holland,2012xviii, 755 p. :ill. ;24 cmHandbook of statistics,0169-7161 ;30Includes bibliographical references and indexpt. I.: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. Giannerinipt. 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. Mukherjeept. III.:High dimensional time series. 7. Functional time series / S. HoÌ̂rmann and P. Kokoszka. 8. Covariance matrix estimation in Time Series / W. B. Wu and H. Xiaopt. IV.:Time series and quantile regression. 9. Time series quantile regressions / Z. Xiaopt. 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. Fokianospt. 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 Raopt. VII.:Spatio-Temporal Time Series. 16. Hierarachical Bayesian models for space-time air po,llution data / S. Sahu 17. Karhunen-Loeve 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. Terdikpt. VIII.:Continuous time series. 19. LeÌ湭driven time series models for financial data / P. Brockwell and A. Lindner. 20. Discrete and continuous time extremes of stationary processes / K. F. Turkmanpt. IX.:Spectral and Wavelet Methods. 21. The estimation of Frequency / B. G. Quinn. 22. A wavelet variance primer / D. B. Percival and D. Mondalpt. X.:Computational methods. 23. Time Series Analysis with R / A. I. McLeod / H. Yu and E. MahdiTime-series analysisSubba Rao, T.Subba Rao, SuhasiniRao, C. Radhakrishna.b1421265116-03-1527-01-15991002664329707536LE013 62-XX HOS11 V.XXX (2012)12013000292748le013pE196.26-l- 02020.i1566167216-03-15Time series analysis257628UNISALENTOle01327-01-15ma -engne 00