中国矿业大学（北京）永利yl23411官网

                   学术报告

报告人： PhD  Ivy (I-Ming) Liu

Associate Professor，the Deputy Head of School in School of Mathematics and Statistics，Victoria University of Wellington

报告1： BICLUSTERING MODELS FOR TWO-MODE ORDINAL DATA

Abstract: In this talk,we introduce finite mixture models that can be used to simultaneously cluster the rows and columns of two-mode ordinal categorical response data, such as those resulting from Likert scale responses. We use the popular proportional odds parameterisation and propose models which provide insights into major patterns in the data. Model-fitting is performed using the EM algorithm, and a fuzzy allocation of rows and columns to corresponding clusters is obtained. The clustering ability of the models is evaluated in a simulation study and demonstrated using two real data sets.

时间：2018年1月11日（周四）下午14:00;

地点：逸夫楼1417             

报告2： A goodness-of-fit test for the ordered stereotype model 

Abstract: In this talk, we present a new goodness-of-fit test for an ordered stereotype model used for an ordinal response variable. The proposed test is based on the well-known Hosmer–Lemeshow test and its version for the proportional odds regression model. The latter test statistic is calculated from a grouping scheme assuming that the levels of the ordinal response are equally spaced which might be not true. One of the main advantages of the ordered stereotype model is that it allows us to determine a new uneven spacing of the ordinal response categories, dictated by the data. The proposed test takes the use of this new adjusted spacing to partition data. A simulation study shows good performance of the proposed test under a variety of scenarios. Finally, the results of the application in two examples are presented.

时间：2018年1月12日（周五）下午14:00;

地点：逸夫楼1417    

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