7月9日 Guido Masarotto(University of Padua) 学术报告
 
  发布时间: 2017-07-05  
 





学术报告




报告题目:A Self-Starting EWMA Control Chart based on the Huber’s Score Function

报 告 人:Guido Masarotto Professor

 Department of Statistical Sciences

 University of Padua, Italy

时    间:79(星期日)上午 9:00

地    点:统计研究院426教室

摘    要: In the talk, a new distribution-free control chart based on the Huber’s ψ function is proposed. The monitoring scheme can be used for detecting changes in the location parameter of univariate and multivariate (also high-dimensional) data streams. The new control chart uses a recursive M-estimator and a partial permutation approach. Results are presented using a conditional p-value. Applications to real and simulated data will be used to show the effectiveness of the suggest approach.


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