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Extension of Burgess' variance theorem to autocorrelation functions and spectra

✍ Scribed by A. Van der Ziel; K.M. Van Vliet


Publisher
Elsevier Science
Year
1982
Weight
127 KB
Volume
113
Category
Article
ISSN
0378-4363

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Consider a triangular array \(X_{1}^{n}, \ldots, X_{n}^{n}, n \in \mathbb{N}\), of rowwise independent random clements with values in a measurable space. Suppose there exists \(\theta \in[0,1)\) such that \(X_{1}^{n}, \ldots, X_{\left.\left[n^{n}\right\}\right]}^{n}\) have distribution \(v_{1}\) and