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主旨 105/12/28(三)學術專題講座
公告日期 2016-12-15
公告內容

講題: Introduction to Energy Statistics

演講者: Mr. John Haman, PhD candidate, Bowling Green State University

摘要: Energy statistics are functions of distances between statistical observations. The objects of classical statistics are real valued variables or vectors, but Energy statistics can operate on numbers, vectors, functions, or graphs. I will present motivations for the study of Energy Statistics, some of the main properties, and examples. The applications of Energy statistics are numerous, including testing goodness of fit, testing equality of distributions, clustering, and more.

時間:105.12.28 下午3:30-4:30 地點C305階梯教室

 

講題: Jackknife Empirical Likelihood Method for Mean Residual Life Functions

演講者: Prof. Ying-Ju (Tessa) Chen, Department of Information Systems and Analytics, Miami University

摘要: Mean residual life (MRL) function is an important function in survival analysis which describes the expected remaining life given survival to a certain age.
In this talk, I will talk about a non-parametric method based on jackknife empirical likelihood through a U-statistic to test the equality of two mean residual functions.
The asymptotic distribution of the test statistic will be introduced and simulations are conducted to illustrate the performance of the proposed test under different distributional assumptions and compare with some existing method. The proposed method is then applied to two real data sets.

時間:105.12.28 下午4:40-5:40 地點C305階梯教室

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