Other errors related to AD conversion are listed below.

1. Errors due to a finite number of samples : The integrals appearing in the defination of the statistical moments are approximated as a sum over values. For a Gaussian signal the errors due to this approximation are as follows:

Mean:
Variance:
Skewness:
Flatness:

2. Errors due to attenuation of signals close to : This error is large in higher-order moment calculation since powers of appear in their definition.

3. Errors due to a finite sampling rate : For a sampling rate of samples per second frequencies larger than in the analog signal cannot be detected. Consider a power spectrum of a signal that varies as , . Here is frequency and is a constant. An increase of one order in the sampling frequency will increase the range of that can be correctly measured by "" orders.