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Sample Properties of Weakly Stationary Processes

Published online by Cambridge University Press:  22 January 2016

T. Kawata
Affiliation:
The Catholic University of America, and Nagoya University
I. Kubo
Affiliation:
The Catholic University of America, and Nagoya University
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Let X(t) = X(t,ω), – ∞ < t < ∞, be a stationary stochastic process with

and the continuous covariance function

where F(x) is the spectral distribution function.

Type
Research Article
Copyright
Copyright © Editorial Board of Nagoya Mathematical Journal 1970

References

[1] Leadbetter, H. Cramér-M.R., Stationary and related stochastic processes. John Wiley, New York, 1967.Google Scholar
[2] Kawata, T., On the Fourier series of a stationary process. Z. Wahrsch. 6 (1966) 224245.CrossRefGoogle Scholar
[3] Kawata, T., On the Fourier series of a stationary process, II. Z. Wahrsch. 13 (1969) 2538.CrossRefGoogle Scholar
[4] Kubo, I., On a necessary condition for the sample path continuity of weakly stationary processes. Nagoya Math. J. 38 (1970) 103111.CrossRefGoogle Scholar
[5] Loéve, M., Supplement to Lévy, P., Processus stochastique et mouvement brownien. Gauthier-Villars, Paris, 1948.Google Scholar
[6] Papoulis, A., Probability, random variables and stochastic processes. McGraw-Hill, New York, 1965.Google Scholar