© 1987 by Biometrika Trust
Tests for Hurst effect
Applied Mathematics Division, D.S.I.R. Wellington, New Zealand
Biometrics Section, Ministry of Agriculture and Fisheries Wellington, New Zealand
We consider the power of tests for distinguishing between fractional Gaussian noise and white noise of a first-order autoregressive process. Our tests are based on the beta-optimal principle (Davies, 1969), local optimality and the rescaled range test.
Key Words: Autoregressive process Beta-optimal test Fractional Gaussian noise Hydrological series Locally optimal test Long-term dependence Rescaled range Self-similar process Simulation
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