On Gebelein's correlation coefficient
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- Basrak, Bojan & Davis, Richard A. & Mikosch, Thomas, 2002. "Regular variation of GARCH processes," Stochastic Processes and their Applications, Elsevier, vol. 99(1), pages 95-115, May.
- GIRAITIS, Liudas & KOKOSZKA, Piotr & LEIPUS, Remigijus & TEYSSIÈRE, Gilles, 2003. "On the power of R/S-type tests under contiguous and semi-long memory alternatives," LIDAM Reprints CORE 1638, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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Keywords
Correlation coefficient Sums of random variables;Statistics
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