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To calculate the estimated values of the cross-correlation function and cross-covariance of the sample, we need to perform some additional calculations. This involves using statistical methods to analyze the data and derive more accurate estimates. One approach is to use time-series analysis to model the data and identify any underlying patterns or trends. Another approach is to perform a spectral analysis to examine the frequency content of the data. By incorporating these techniques, we can obtain a more comprehensive understanding of the relationships between the variables and improve the accuracy of our estimates.