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We develop a spectral based coefficient of determination to measure how well the spectral density of a stationary process is represented by the class of MA() models. Using periodogram-based estimators, we establish asymptotic normality, derive tests for the MA() hypothesis, and construct procedures for determining the smallest order achieving a prescribed approximation quality.

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