Debasis Kundu is a Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur, India, which he joined in 1990. He had previously worked as Assistant Professor at the University of Texas at Dallas, USA, after completing his PhD in Statistics at Pennsylvania State University, USA. His research interests include statistical signal processing, nonlinear regression, distribution theory, statistical computing, and reliability and survival analysis.
Télécharger le livre :  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 the significance of censored data in theoretical and applied contexts,...
Editeur : Academic Press
Parution : 2023-01-06

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145,59

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Télécharger le livre :  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 can broadly be considered to be the recovery of information from physical...
Editeur : Springer
Parution : 2020-08-21

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89,66

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Télécharger le livre :  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 years. Although two books, Bagdonavicius and Nikulin (2001) and Nelson...
Editeur : Academic Press
Parution : 2017-06-29

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97,01

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Télécharger le livre :  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 intentional interferences. Due to the random nature of the signal, statistical...
Editeur : Springer
Parution : 2012-05-24
Collection : SpringerBriefs in Statistics
Format(s) : ePub
58,01

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