A Conversation with Dennis Cook

IF 3.9 1区 数学 Q1 STATISTICS & PROBABILITY Statistical Science Pub Date : 2021-04-01 DOI:10.1214/20-STS801
E. Bura, Bing Li, Lexin Li, C. Nachtsheim, D. Peña, C. Setodji, R. Weiss
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Abstract

Dennis Cook is a Full Professor, School of Statistics, at the University of Minnesota. He received his BS degree in Mathematics from Northern Montana College, and MS and PhD degrees in Statistics from Kansas State University. He has served as Chair of the Department of Applied Statistics, Director of the Statistical Center and Director of the School of Statistics, all at the University of Minnesota. His research areas include dimension reduction, linear and nonlinear regression, experimental design, statistical diagnostics, statistical graphics and population genetics. He has authored over 200 research articles and is author or co-author of two textbooks— An Introduction to Regression Graphics and Applied Regression Including Computing and Graphics—and three research monographs, Influence and Residuals in Regression, Regression Graphics: Ideas for Studying Regressions through Graphics and An Introduction to Envelopes: Dimension Reduction for Efficient Estimation in Multivariate Statistics. He has served as Associate Editor of the Journal of the American Statistical Association, The Journal of Quality Technology, Biometrika, Journal of the Royal Statistical Society and Statistica Sinica. He is a four-time recipient of the Jack Youden Prize for Best Expository Paper in Technometrics as well as the Frank Wilcoxon Award for Best Technical Paper. He received the 2005 COPSS Fisher Lecture and Award, and he is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics. The following conversation took place on March 22, 2019, following the banquet at the conference, “Cook’s Distance and Beyond: A Conference Celebrating the Contributions of R. Dennis Cook.” The interviewers were, Efstathia Bura (Effie), Bing Li, Lexin Li, Christopher Nachtsheim (Chris), Daniel Pena, Claude Messan Setodji and Robert Weiss (Rob).
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与丹尼斯·库克的对话
丹尼斯·库克是明尼苏达大学统计学院的全职教授。他在北蒙大拿学院获得数学学士学位,在堪萨斯州立大学获得统计学硕士和博士学位。他曾担任明尼苏达大学应用统计系主任、统计中心主任和统计学院主任。他的研究领域包括降维、线性和非线性回归、实验设计、统计诊断、统计图形和群体遗传学。他撰写了200多篇研究论文,是两本教科书的作者或合著者-回归图形介绍和应用回归包括计算和图形-以及三本研究专著,回归中的影响和残差,回归图形:通过图形研究回归的想法和信封介绍:多维统计中有效估计的降维。他曾担任《美国统计协会杂志》、《质量技术杂志》、《生物计量学》、《皇家统计学会杂志》和《中国统计》的副主编。他曾四次获得Jack Youden技术计量学最佳说明性论文奖以及Frank Wilcoxon最佳技术论文奖。他获得了2005年COPSS费舍尔讲座和奖,他是美国统计协会和数学统计研究所的会员。以下对话发生在2019年3月22日,在会议宴会之后,“库克的距离和超越:庆祝r·丹尼斯·库克贡献的会议”。采访者分别是:Efstathia Bura(艾菲)、Bing Li、Lexin Li、Christopher Nachtsheim(克里斯)、Daniel Pena、Claude Messan Setodji和Robert Weiss(罗伯)。
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来源期刊
Statistical Science
Statistical Science 数学-统计学与概率论
CiteScore
6.50
自引率
1.80%
发文量
40
审稿时长
>12 weeks
期刊介绍: The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.
期刊最新文献
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