1957
DOI: 10.1007/bf01305937
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On some moments and distributions occurring in the theory of linear stochastic processes. ? I

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1958
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Cited by 23 publications
(2 citation statements)
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“…Parzen (1961) gave conditions for the convergence of m(T)(u) with probability 1. Walker (1954), Lomnicki & Zaremba (1957, Parzen (1957a) and Anderson & Walker (1964) considered the asymptotic normality of m(T(u) in the case where Xa(t) was a linear process. Walker (1954), Lomnicki & Zaremba (1957, Parzen (1957a) and Anderson & Walker (1964) considered the asymptotic normality of m(T(u) in the case where Xa(t) was a linear process.…”
Section: The Spectral Measurementioning
confidence: 99%
“…Parzen (1961) gave conditions for the convergence of m(T)(u) with probability 1. Walker (1954), Lomnicki & Zaremba (1957, Parzen (1957a) and Anderson & Walker (1964) considered the asymptotic normality of m(T(u) in the case where Xa(t) was a linear process. Walker (1954), Lomnicki & Zaremba (1957, Parzen (1957a) and Anderson & Walker (1964) considered the asymptotic normality of m(T(u) in the case where Xa(t) was a linear process.…”
Section: The Spectral Measurementioning
confidence: 99%
“…Further, P(A1,,A1), P(A2,VA2), being linear functions of the sample covariances, are asymptotically normally distributed under general conditions regarding the moments of {Xt ,} (Lomnicki & Zaremba, 1959). Further, P(A1,,A1), P(A2,VA2), being linear functions of the sample covariances, are asymptotically normally distributed under general conditions regarding the moments of {Xt ,} (Lomnicki & Zaremba, 1959).…”
Section: Mixed Spectra In [2]mentioning
confidence: 99%