Abstract
Consistency and asymptotic normality of kth-order sample moments and cumulants of stationary processes is established. Further, asymptotic covariance expressions along with their computable forms are derived and special cases for k=2, 3 and 4 are explicitly discussed. This analysis generalizes the results of Bartlett and provides tools for performance evaluation and comparison of algorithms based on sample moments and cumulants. Simulations verify the given covariance expressions.<>