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Author: Debasis Kundu

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Debasis Kundu is currently the Arun Kumar Chair Professor at the Department of Mathematics and Statistics in the Indian Institute of Technology, Kanpur. He received his B-Stat and M-Stat from the Indian Statistical Institute, MA (Mathematics) from the University of Pittsburgh and Ph.D. from the Pennsylvania State University under the guidance of Professor C.R. Rao in the area of statistical signal processing. He has worked in the University of Texas and Dallas for a year before joining the Indian Institute of Technology, Kanpur as an Assistant Professor. His research interests include statistical signal processing, reliability theory, statistical computing, distribution theory and competing risks. He has published more than 175 research papers in different national and international journals. He is a Fellow of the National Academy of Sciences, India and a Fellow of the Royal Statistical Society, UK. He is in the editorial boards of Communications in Statistics – Theory and Methods, Communications in Statistics – Simulation and Computation, Journal of Statistical Theory and Practice, Journal of Statistics and Applications, Journal of Modern Applied Statistical Methods. Swagata Nandi is currently an Assistant Professor at the Theoretical Statistics and Mathematics Unit of the Indian Statistical Institute, Delhi Center. She received her M.Sc. and Ph.D. from the Indian Institute of Technology. Kanpur. Before joining the Indian Statistical Institute as an Assistant Professor, she was a post doctoral fellow at the University of Heidelberg and at the University of Mannheim. Her research interests include statistical signal processing, analysis of surrogate data, EM algorithm and bootstrapping technique. She has more than 25 research publications in different national and international journals. She is the recipient of the Indian Science Congress Association Young Scientist award and  is the winner of the “C.L. Chandana Award for Students”.




4 Ebooks by Debasis Kundu

Debasis Kundu & Swagata Nandi: Statistical Signal Processing
Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or …
PDF
English
€58.84
Ayon Ganguly & Debasis Kundu: Analysis of Step-Stress Models
Analysis of Step-Stress Models: Existing Results and Some Recent Developments describes, in detail, the step-stress models and related topics that have received significant attention in the last few …
EPUB
English
DRM
€97.96
Swagata Nandi & Debasis Kundu: Statistical Signal Processing
This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. Signal processing …
PDF
English
€90.94
Narayanaswamy Balakrishnan & Erhard Cramer: Hybrid Censoring Know-How
Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications. The readers will find information on …
EPUB
English
DRM
€147.09