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Contemporary Developments in Statistical Theory

. Ed(S): Lahiri, Soumendra; Schick, Anton; Sengupta, Ashis; Sriram, T. N.

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Description for Contemporary Developments in Statistical Theory Paperback. Editor(s): Lahiri, Soumendra; Schick, Anton; SenGupta, Ashis; Sriram, T. N. Series: Springer Proceedings in Mathematics and Statistics. Num Pages: 396 pages, 100 black & white illustrations, 60 colour illustrations, 40 black & white tables, biogra. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 623.

This volume highlights Prof. Hira Koul’s achievements in many areas of Statistics, including Asymptotic theory of statistical inference, Robustness, Weighted empirical processes and their applications, Survival Analysis, Nonlinear time series and Econometrics, among others. Chapters are all original papers that explore the frontiers of these areas and will assist researchers and graduate students working in Statistics, Econometrics and related areas. Prof. Hira Koul was the first Ph.D. student of Prof. Peter Bickel. His distinguished career in Statistics includes the receipt of many prestigious awards, including the Senior Humbolt award (1995), and dedicated service to the profession through editorial work for ... Read more

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Product Details

Format

Paperback

Publication date

2016

Publisher

Springer International Publishing AG Switzerland

Number of pages

396

Condition

New

Series

Springer Proceedings in Mathematics and Statistics

Number of Pages

396

Place of Publication

Cham, Switzerland

ISBN

9783319375809

SKU

V9783319375809

Shipping Time

Usually ships in 15 to 20 working days

Ref

99-15

About . Ed(S): Lahiri, Soumendra; Schick, Anton; Sengupta, Ashis; Sriram, T. N.

Soumendra Lahiri is a Professor of Statistics at the North Carolina State University. His research interests include Nonparametric Statistics, Time Series, Spatial Statistics, and Statistical inference for high dimensional data. He served as an Editor of Sankhya, Series A (2007-2009) and currently, he is on the editorial boards of the Annals of Statistics and the Journal of Statistical Planning and Inference. ... Read moreHe is a fellow of the ASA and the IMS, and an elected member of the International Statistical Institute. Anton Schick is Professor and Chair of the Department of Mathematical Sciences at Binghamton University. His research interests include semiparametric efficiency, U-statistics, empirical likelihood, residual-based inference, incomplete data, curve estimation, and inference for stochastic processes. He currently serves on the editorial boards of Statistics and Probability Letters, Statistical Inference for Stochastic Processes, and the Journal of the Indian Statistical Association. Ashis SenGupta is Professor (HAG), at Indian Statistical Institute, Kolkata. His research interests are in Multivariate Analysis and Inference, Probability distributions on manifolds, Directional Statistics, Reliability and Environmental Statistics. He has been a frequent vistor to several universities in USA as a visiting faculty including Stanford University; University of Wisconsin - Madison; University of California - Santa Barabara and Riverside; and Michigan State University-East Lansing. He is an Editor-in-Chief of Environmental & Ecological Statistics, Springer, USA, and an Editor of Scientiae Mathematicae Japonicae, Japan. He has been President of International Indian Statistical Association (India Chapter) for several successive terms. He is a Member of the Project Advisory Committee - Math. Sciences, DST, Government of India; a Fellow of National Academy of Sciences, India and a Fellow of American StatisticalAssociation, USA T. N. Sriram is currently a Professor at the Department of Statistics, University of Georgia (UGA). He is a Fellow of the American Statistical Association and the winner of Special Sandy Beaver Teaching Award at UGA. His research interests focus on theory and applications for a variety of statistical scenarios, such as sequential analysis for independent & dependent data; bootstrap methods for linear & non-linear time series, and branching processes; robust estimation methods for mixture models; dimension reduction methods and its robust modifications in time series and in association studies; and sample size determination for classifiers arising in biological studies. His research has been funded by federal agencies such as National Science Foundation, National Security Agency, and the Bureau of Labor Statistics. He has directed eleven doctoral dissertations, served as an editorial board member of three statistics journals, organized three international conferences, and served on NSF panels. Show Less

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Contemporary Developments in Statistical Theory

. Ed(S): Lahiri, Soumendra; Schick, Anton; Sengupta, Ashis; Sriram, T. N.

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