Free Access
Issue
RAIRO-Oper. Res.
Volume 24, Number 1, 1990
Page(s) 67 - 91
DOI https://doi.org/10.1051/ro/1990240100671
Published online 06 February 2017
  • O. D. ANDERSON, Time Series Analysis and Forecasting: The Box-Jenkins Approach, Butterworths: London and Boston, 1975. [MR: 448760] [Zbl: 0377.62053]
  • O. D. ANDERSON, Time series analysis and forecasting: a further look at the Box-Jenkins approach, Cahiers du CERO, vol. 19, 1977 a, pp. 233-256. [MR: 448760] [Zbl: 0377.62053]
  • O. D. ANDERSON, Formulae for the expected values of the sampled variance and covariances from series generated by general autoregressive intergrated moving average processes of order (p, d, q), Sankhya B, Vol. 41, 1979 a, pp. 177-195. [MR: 637675] [Zbl: 0485.62103]
  • O. D. ANDERSON, The autocovariance structures associated with general unit circle nonstationary factors in the autoregressive operators of otherwise stationary ARMA time series models, Cahiers du CERO, Vol. 21, 1979 b, pp. 221-237. [MR: 558419] [Zbl: 0425.62070]
  • O. D ANDERSO, Some sample autocovariance function results for a once integrated q-th order moving average process, Statistica, Vol. 39, 1979 c, pp. 287-299. [MR: 547281] [Zbl: 0407.62071]
  • O. D ANDERSON, Indentification of linear time processes: an augmented Box-Jenkins approach, Working Paper, 1990.
  • O. D ANDERSON and J. G. DE GOOIJER, On discriminating between IMA (1, 1) and ARMA (1, 1) processes: some extensions to a paper by Wichern, The Statistician, Vol. 28, 1979, pp. 119-133.
  • O. D. ANDERSON and J. G. DE GOOIJER, Formulae for the covariance structure of the sampled autocovariances from series generated by general autoregressive moving average processes of order (p, d, q), d=0 or 1. Sankya B, Vol. 45, 1983, pp. 249-256. [MR: 748469] [Zbl: 0533.62084]
  • O. D. ANDERSON and J. G. DE GOOIJER, Discriminating between IMA (1, 1) and ARMA (1, 1) models: a simulation study; Working Paper, 1987.
  • O. D. ANDERSON and J. G. DE GOOIJER, Sampled autocovariance and autocorrelation results for linear time processes, Communications in Statistics (Simulation and Computation), Vol. 17, 1988, pp. 489-513. [MR: 955337] [Zbl: 0695.62212]
  • G. E. P. Box and G. M. JENKINS, Time Series Analysis, Forecasting and Control, Holden Day, San Francisco (Revised Edition), 1976. [MR: 436499] [Zbl: 0363.62069]
  • H. E. DANIELS, The approximate distribution of serial correlation coefficients, Biometrika, Vol. 43, 1956, pp. 169-185. [MR: 79395] [Zbl: 0074.14202]
  • J. P. IMHOF, Computing the distribution of quadratic forms in normal variables, Biometrika, Vol. 48, 1961, 419-426. [MR: 137199] [Zbl: 0136.41103]
  • M. G. KENDALL, Note on bias in the estimation of autocorrelation, Biometrika, vol. 41, 1954, pp. 403-404. [MR: 65124] [Zbl: 0056.13303]
  • D. W. WICHERN, The behaviour of the sample autocorrelation function for an intergrated moving average process, Biometrika, Vol. 60, 1973, pp. 235-239. [Zbl: 0261.62070]

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