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On estimation of the integrals of certain functions of spectral density

Published online by Cambridge University Press:  14 July 2016

Masanobu Taniguchi*
Affiliation:
Hiroshima University
*
Postal address: Department of Applied Mathematics, Faculty of Engineering, Hiroshima University, Hiroshima, 730 Japan.

Abstract

Let g(x) be the spectral density of a Gaussian stationary process. Then, for each continuous function ψ (x) we shall give an estimator of whose asymptotic variance is O(n–1), where Φ(·) is an appropriate known function. Also we shall investigate the asymptotic properties of its estimator.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1980 

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References

[1] Brillinger, D. R. (1969) Asymptotic properties of spectral estimates of second order. Biometrika 56, 375390.CrossRefGoogle Scholar
[2] Hannan, E. J. (1970) Multiple Time Series. Wiley, New York.CrossRefGoogle Scholar
[3] Hannan, E. J. and Nicholls, D. F. (1977) The estimation of the prediction error variance. J Amer. Statist. Assoc. 72, 834840.Google Scholar
[4] Taniguchi, M. (1979) On estimation of parameters of Gaussian stationary processes. J. Appl. Prob. 16, 575591.CrossRefGoogle Scholar
[5] Thomson, W. T. (1960) Laplace Transformation. Prentice-Hall, Englewood Cliffs, NJ.Google Scholar
[6] Walker, A. M. (1964) Asymptotic properties of least squares estimates of parameters of the spectrum of a stationary non-deterministic time series. J. Austral. Math. Soc. 4, 363384.CrossRefGoogle Scholar