Methods A weighted statistical model(WSM) was presented to solve the problem of adaptability to deformation and tilting while detecting nonrigid image targets using a priori knowledge information and statistical knowledge based model.

By using the inverse of resolution and the inclusion-exclusion principle to circumvent the problem of space complexity, this paper proposes a framework for both model counting and weighted model counting.

Based on all-round investigation of the use and failures of Chinese railways rails in service, the method of weighting statistics for rail failures is proposed in this paper.

The weight statistic method of the paper,is just a method which could be used by the management of citation data.

The based the weight statistic we b mining way is easy way.

Research on forecasting building displacement with GM(1,1) weighted model;

The basic model and the weighted model for determining the relative position of individual result in group or population are established,in which the total results or the average results of different subjects are compared with the standard marks.

Because of the high computational complexity of the linear model for MAD prediction and taking into account the space and temporal correlation,a MAD weighted model reducing the computational complexity is presented,which passed over updating the parameters of linear model.