I. Introduction

نویسنده

  • Rameshwar D. Gupta
چکیده

Rameshwar D. Gupta was the speaker of a seminar titled “Generalized Exponential Distributions”. Gupta received his PhD degree in statistics from Dalhousie University in 1973. He worked in the University of the West Indies, University of Saskatchewan. He joined the University of New Brunswick in 1980. He has received the Merit Award at the University of New Brunswick at Saint John four times. Presently, he is a Professor of Emeritus in the Department of Computer Science and Applied Statistics at University of New Brunswick at Saint John. A part of his research is funded by the Natural Sciences and Engineering Council of Canada. In his research, he is interested in distribution theory, survival analysis, multivariate analysis and statistical computation. For modeling lifetime data or skewed data, the most commonly used distributions are gamma, Weibull and log-normal. Recently, Gupta and Debashis Kundu have introduced a new family of generalized exponential distributions. Extensive study of the properties of this family of distributions has revealed that this distribution can be used as an alternative to gamma, Weibull and log-normal distributions in many situations. Due to convenient form of the distribution function, generalized exponential deviates can be easily generated. It is also possible to generate approximately gamma and normal random variables using generalized exponential distribution. Generating gamma random variables based on generalized exponential distributions could be a better alternative to the existing methods of generating gamma random variables. For preparing this report, I have used the homepage of Gupta at the website of Department of Mathematical Sciences, University of New Brunswick at Saint John, and the slides used by Gupta to present the topic in the seminar.

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تاریخ انتشار 2010