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Covariance function and ergodicity of asymptotically stationary random fields

Published online by Cambridge University Press:  17 April 2009

V.V. Anh
Affiliation:
School of Mathematics, Queensland University of Technology, GPO Box 2434 Brisbane Qld 4001, Australia
K.E. Lunney
Affiliation:
School of Mathematics, Queensland University of Technology, GPO Box 2434 Brisbane Qld 4001, Australia
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Abstract

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A class of second-order asymptotically stationary random fields is shown to contain the class of almost harmonisable random fields. A continuity theorem which leads to the spectral representation for the covariance function of asymptotically stationary random fields is established. A mean ergodic theorem for the fields is also given. When stationarity is assumed, the results reduce to the well-known corresponding theorems for stationary random fields.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 1991

References

[1]Bhagavan, C.S.K., Non-stationary processes, spectra and some ergodic theorems (Andhra University Press, 1974).Google Scholar
[2]Bhagavan, C.S.K., ‘A mean ergodic theorem for a class of continuous parameter non-stationary processes’, Sankhyā Ser. A 37 (2) (1975), 292296.Google Scholar
[3]Bhagavan, C.S.K., ‘On nonstationary time series’, in Handbook of statistics 5, Hannan, E.J., Krishnaiah, P.R., Rao, M.M. (Elsevier, 1985).Google Scholar
[4]Cuppens, R., Decomposition of Multivariate Probabilities (Academic Press, 1975).Google Scholar
[5]de Feriet, J. Kampe and Frenkiel, F.N., ‘Correlations and spectra for non-stationary random functions’, Math. Comp. 16 (1962), 121.CrossRefGoogle Scholar
[6]Loeve, M., ‘Fonctions aleatoires du second ordre. Supplement to P. Levy’, Processus Stochastiques et Mouvement Brownien, (Paris, 1948).Google Scholar
[7]Loomis, L.H., An Introduction to Abstract Harmonic Analysis (Van Nostrand, 1953).Google Scholar
[8]Parzen, E., ‘Spectral analysis of a symptotically stationary time series’, Bull. Inst. Internat. Statist. 39 (1962), 87103.Google Scholar
[9]Rao, M.M., ‘Covariance analysis of non-stationary time series’, in Developments in Statistics 1, ed. Krishnaiah, P.R., pp. 171225 (Academic Press, 1978).Google Scholar
[10]Rao, M.M., ‘Harmonizable, Cramer and Karhunen classes of processes’, in Handbook of statistics 5, Editors Hannan, E.J., Krishnaiah, P.R., Rao, M.M. (Elsevier, 1985).Google Scholar
[11]Wolters, J., Stochastic dynamic properties of linear econometric models (Springer Verlag, Berlin, Heidelberg, New York, 1980).CrossRefGoogle Scholar