Problem On The Choice Of Equivalence Limit And The Method Of Data Fusion

Experiment of simulation is the experiment which has been widely used in modern engineering. It can help to obtain a lot of accurate data, overcome the problem arising from the small sample size or the reliance on historical data and improve the credibility of inference conclusions. So the inference based on simulation data is essential. Until now, there are many scholars who studied these questions in depth.In this paper, we will discuss on how to choose the suitable equivalence limit and the method of data fusion. In the first chapter, we detailed the specific question mentioned before, the current research and research contents. In the second chapter, we propose two methods for the choice of equivalence limit-ERV procedure and PSR procedure and give the concrete examples for these procedures. One method generalized the percent principle, the other one is a totally new method, based on the historical data, which is more complex but have a lager area of applications. Finally, we introduce the method of data fusion based on PSR and study the performance using Monte Carlo Method in the third chapter.