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          3-18 加拿大McMaster 大學(xué)N. Balakrishnan教授應(yīng)邀管理與經(jīng)濟(jì)學(xué)院作學(xué)術(shù)報(bào)告

          題 目:Generalized Gamma Frailty Model And Applications

          主講人:Professor N. Balakrishnan    McMaster University

          時(shí) 間:3月18日  上午10:00—11:00

          地 點(diǎn):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(nèi)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.

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