Static consistency check in small sample condition using difference quotient series statistics in variable scale

Simulation data is necessary in equipment test and evaluation, especially in small sample condition. Static consistency check is important to ensure the data is available. In this thesis, the method of static consistency check for simulation data in small sample condition with order statistics was presented. Based on the discussion of these methods and use some decisions for reference, arbitrary distributions of small sample consistency check ideas and methods was studied using difference quotient series statistics in variable scale, which can solve the problem of consistency check easily, and has a better accuracy. At last, an example was given to demonstrate the feasibility of the method.