Abstract:Aiming at the problem that the acceleration factor of the new product is difficult to determine, the distribution of product acceleration factor based on stochastic Wiener process is proposed. First, according to the similar product information, determine the similar products to accelerate factor prior distribution using the overall maximum likelihood function (MLE) and the Fisher information matrix; Secondly, according to the expert experience information gives new research products acceleration factor prior distribution; Again followed by weighted fusion theory, fusioning accelerated factor prior distribution of the similar products and acceleration factor prior distribution based on expert experience gives a accelerating factor final prior distribution of new research products; then, according to new research products infield test information, given the Wiener process parameter estimation; Finally, by the Bayes theory, make full use of products low layer test information to update acceleration factor distribution to get acceleration factor posterior distribution. Taking a case study of the accelerometer, the suitable and validity of the proposed method has been proved.