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Libro

Developments in time series analysis : in honour of Maurice B. Priestley

edited by T. Subba Rao.

London : Chapman & Hall, 1993.

xxvii, 433 págs. : ilustraciones ; 24 cm.

ISBN: 0412492601

Incluye referencias bibliográficas e índice.

Reseña: MathSciNet, 95c:62003

Contenido

  • Foreword / A. M. Yaglom
  • Books and papers by M. B. Priestley
  • 1. Positively related processes and cointegration / C. W. J. Granger
  • 2. Long-term inference based on short-term forecasting models / P. Newbold, C. Agiakloglou and J. Miller
  • 3. Developments in multivariate covariance generation and factorization / G. Tunnicliffe Wilson
  • 4. Incorporating and deleting information in dynamic models / P. J. Harrison and P. P. Veerapen
  • 5. Order selection for linear time series models: a review / R. J. Bhansali
  • 6. The Gaussian log likelihood and stationary sequences / M. Kramer and M. Rosenblatt
  • 7. On the asymptotic expansions for the bias and covariance matrix of autoregressive estimators / T. D. Pham
  • 8. Asymptotic properties of serial covariances of orders which increase with sample size / K. C. Chanda
  • 9. Exact maximum likelihood estimation for extended ARIMA models / R. Azrak and G. Melard
  • 10. Determining the number of jumps in a spectrum / E. J. Hannan
  • 11. Stationary time series analysis using information and spectral analysis / E. Parzen
  • 12. Periodogram analysis for complex-valued time series / A. M. Walker
  • 13. A spectral approach to long memory time series / G. Janacek
  • 14. Nonparametric function estimation in noisy chaos / B. Cheng and H. Tong
  • 15. Nonparametric tests of serial independence / H. J. Skaug and D. Tjostheim
  • 16. Measuring nonlinearity in time series / J. Pemberton
  • 17. A Chernoff-Savage result for serial signed rank statistics / J. Allal and M. Hallin
  • 18. Non-Gaussian characteristics of exponential autoregressive processes / T. Ozaki
  • 19. Bispectrum based checking of linear predictability for time series / G. Terdik and J. Math
  • 20. Maximum likelihood fitting of bilinear models to time series with missing observations / M. M. Gabr
  • 21. Time series models for multivariate series of count data / K. Ord, C. Fernandes and A. C. Harvey
  • 22. Conditional maximum likelihood estimates for INAR(1) processes and their application to modelling epileptic seizure counts / J. Franke and T. Seligmann
  • 23. An application of statistics to seismology: dispersion and modes / D. R. Brillinger
  • 24. On periodogram-based spectral estimation for replicated time series / P. J. Diggle and I. Al-Wasel
  • 25. The prediction of time-frequency spectra using covariance-equivalent models / J. K. Hammond, R. F. Harrison, Y. H. Tsao and J. S. Lee
  • 26. Time variable and state dependent modelling of non-stationary and nonlinear time series / P. Young
  • 27. Demodulation of phase modulated signals / T. Subba Rao and M. Yar.
 
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