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安徽工业大学数理学院导师介绍:汪忠志

考研时间: 2013-08-28 来源:查字典考研网

姓名:汪忠志

导师情况:硕导

学历:硕士

职称:教授

邮编:243002

个人基本信息:

汪忠志,男,安徽工业大学理学院应用数学系教授,硕士生导师。1987年大学毕业于安徽师范大学数学专业,1990年硕士研究生毕业于河北工学院应用数学专业。2006年晋升为教授,现任中国工程概率统计学会理事,安徽省现场概率统计学会理事,国际一般系统论研究会中国概率统计学会常务理事。主要从事概率论极限,数理金融与信息论基础理论与应用研究。在国内外专业期刊发表学术论文50余篇。97年获河北省教委科技进步一等奖,98,2003年分别获河北省科技进步三等奖。2002年度被评为安徽工业大学拔尖人才,2003年被评为安徽省高校优秀中青年骨干教师,美国数学评论评论员。

科研论文及成果:

[1]An extension of a theorem on gambling system,J.Multivariate Analysis,1995,55,125-132.SCI.

[2]A Class of Random Deviation Theorems for Sums of Nonnegative Stochastic Sequence and Strong Law of Large Numbers,Statistics & Probability Letters,12(2006):2017-2026 SCI

[3]An extension of a theorem on gambling system to arbitrary binary random sequence,Statistics.Probability.Letter,1997,32,343-349.SCIE.

[4]二重非齐次可列马氏链及其随机变换的若干极限定理,系统科学与数学,(2004):451-462

[5]Some Small Deviation Theorems for Arbitrary Continuous Random Sequence,Appl.Math.J.Chinese Univ.Ser.B,B,1(2007):101-108

[6]Some strong deviation theorems and Limit Properties for Continuous Information Source,Southeast Asian Bulletin of Mathematics,12(2006),1157-1167

[7]Some strong deviation theorems for random sum of discrete stochastic sequence [J],Applied Mathematics 2004,Vol.17,No.2,p.277-284.

[8]Random transforms for arbitrary stochastic sequence and a.s.convergence,Journal of Mathematics,2005,9

[9]Some Limit Theorems on Randomly Weighted Sums for Inhomogenous Markov Chains,International Mathematics Forum, 2007,2(26),1275-1280

[10]On stong limit theorem for sums of stochastic sequence,Journal of Applied Probability & Statistics,2009,4(1):93-98

[11]A strong limit theorem on random selection for countable non-homogeneous Markov chains,Chinese Journal of Mathematics,1996,24 (2),187-197.

[12]The upper and lower bounds of deviation between arbitrary information source and nonhomogeneous Markov chains,Advance in Systems Science and Applications,2006,6(3):515-520.

[13]Some strong deviation theorems for dependent stochastic sequence,International Mathematical Forum,2007,26(2):1275-1280

[14]On almost sure convergence for dependent stochastic sequence,International Journal of Mathematical Analysis ,2007,28,1353-1360.

[15]Some limit theorems of runs to the continuous-valued sequence,Kybernetes,2008,37 SCI

[16]Conditioned limit theorems for weighted sums of random sequences,Applied Mathematical,Sciences,Vol.2,2008,no.21,1005 - 1011,

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