One of the two approaches to the design of digital interpolators uses averaged second-order statistics to minimize the mean square interpolation error. This approach has been considered only when the number of samples employed to compute a final interpolated value is even. In the present paper, we generalize systematically this method to consider even or odd numbers of samples in that computation and values of sampling period ratio, with lineal phase non-recursive interpolating filters.