Research On Rank Of Parts Of "Double First-Class" Universities Of China Based On The Generalized Thurstonian Model

The rank of universities has its practical significance and inevitable shortcoming.There are several influential universities' ranks both at home and abroad.This thesis focuses on the ranks of parts of "double first-class" universities in China.Some of them are quite different from each other in these ranks.This thesis expects to get a better aggregation rank from the existing ranks.In this thesis,we use the generalized Thurstonian model and Baysian approach and give the rank aggregation and the quality of experts from the Gibbs sampler.Inspired by the scoring rule of diving and the evaluation of judges,we get the recalculated aggregation rank by removing the low-quality experts.We call this approach "reinference".