Small sample maintainability test data fusion method based on ML-II

In order to solve the problem of low reliability of assessment result due to small sample size in complex system maintainability assessment, the maximum likelihood estimate (ML-II) of the second kind is introduced for parameter estimation so as to implement fusion of a small amount of the field maintainability test information with multi-source maintainability prior information and give weighing factors of various prior information based on field test information and obtain a fused prior distribution at the end. Finally, the effectiveness and feasibility of the fusion method are explained by fusion example according to certain maintainability index parameter.