A test of fit for the spectral density function of a stochastic process
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Keywords
Density Function Stochastic Process Spectral Density Spectral Density Function
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References
- [1]H. Cramér, Mathematical Methods of Statistics, Princeton University Press, 1946.Google Scholar
- [2]U. Grenander andM. Rosenblatt, “Statistical spectral analysis of time series arising from stationary stochastic processes”, Ann. Math. Statist. Vol.24, pp. 537–558 (1953).Google Scholar
- [3]U. Grenander andM. Rosenblatt, Statistical Analysis of Stationary Time Series, John Wiley and Sons, New York, 1957.Google Scholar
- [4]M. Loève, Probability Theory. Foundations. Random Sequences, D. van Nostrand Co. New York, 1955.Google Scholar
- [5]Z. A. Lomnicki andS. K. Zaremba, “On some moments and distributions occurring in the theory of linear stochastic processes”, Monatsh. Math.: Part I, Vol.61 (1957), pp. 318–358; Part II, Vol.63, pp. 128–168 (1959). In Part I the following two misprints should be corrected: On p. 150C p, q,(N) should be replaced byc p, q,(N); on p. 165 the numbers in the last line of the table should read 1.0000, 28/3=9.3333, and4 respectively.Google Scholar
- [6]A. M. Walker, “A goodness of fit test for spectral distribution functions of stationary time series with normal residuals”, Biometrika, Vol.43, pp. 257–275 (1956).Google Scholar
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