啦啦啦精彩视频免费观看在线,丰满大屁股熟女啪播放,暖暖视频在线观看免费最新,亚洲V天堂,无码爽到爆高潮抽搐喷水在线观看,91亚洲国产一区二区

ENGLISH
您所在的位置: 首頁» 新聞中心» 講座預告

3-18 加拿大McMaster 大學N. Balakrishnan教授應邀管理與經濟學院作學術報告

題 目:Generalized Gamma Frailty Model And Applications

主講人:Professor N. Balakrishnan    McMaster University

時 間:3月18日  上午10:00—11:00

地 點:主樓418

主講人簡介:

  N.Balakrishnan is a Professor of Statistics at McMaster University, Hamilton, Ontario, Canada. He received his B.Sc. and M.Sc. degrees in Statistics from University of Madras, India, in 1976 and 1978, respectively. He finished his Ph.D. in Statistics from Indian Institute of Technology, Kanpur, India, in 1981. And Dr. Balakrishnan is the Visiting Professor for many Universities. He is a Fellow of the American Statistical Association, and a Fellow of the Institute of Mathematical Statistics. He is currently the Editor-in-Chief of Communications in Statistics, and Executive Editor of Journal of Statistical Planning and Inference. He is a member of the American Statistical Association, Institute of Mathematical Statistics, Statistical Society of Canada, American Society for Quality Control, International Indian Statistical Association. Dr. Balakrishnan honored with the 25th Anniversary Don Owen Award in 2008. His research interests include distribution theory, ordered data analysis, censoring methodology, reliability, survival analysis, and statistical quality control. He published more than 180 journal papers and over 40 books.

內容簡介:

  Frailty models are usually used to model correlation in clustered survival data. Some of the most popular frailty models are based on gamma, Weibull, lognormal and stable distributions. In this talk, I will introduce a generalized gamma frailty model that includes gamma, Weibull and lognormal as special cases. I will then discuss inferential issues for this frailty model. This parsimonious model is then used for model discrimination between different special cases for a given data. Finally, I will take some real-life data sets to illustrate the practical usefulness of this model.

TOP