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In this paper, the possibility of applying the fractional moments (FM) method in selection of the best operational amplifier (OA) among the available ones is considered. This method can be defined as the statistical method because is based on analysis and quantitative “reading” of the measured “noise”/random fluctuations with the help of the statistics of the fractional/complex moments. The justified selection of the “best” OA among available ones is based on the evaluation of twelve key correlation parameters that are derived in the fractional/complex moments (FM/CM) space. It was shown when evaluating the output parameters of the available OAs, this method has a high sensitivity and it is not subjected to uncontrolled errors. The proposed method of the complex moments (CM) is free from model and treatment errors and, therefore, has a high reliability in comparison with the conventional methods. The methodology of its application can be found in the Mathematical Appendix. It is rather general and can be used for a wide set of data; it is simple in “extraction” of additional information from different random functions in the space of the complex moments (CM), including trendless sequences, especially.

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