Mathematical Statistics with Applications in R - Ramachandran, Kandethody M. (Professor of Mathematics and Statistics; Tsokos, Chris P. (Distinguished University Professor of Mathematics
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Includes chapters that are written by the world's leading experts, including the latest up-to-date thinking on a variety of subject areas Covers state-of-the-art techniques, bringing the reader the latest technologies/methods being used to understand beach systems Presents a clear-and-concise description of processes and techniques that enables a clear understanding of coastal processes

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Produktbeschreibung
Includes chapters that are written by the world's leading experts, including the latest up-to-date thinking on a variety of subject areas Covers state-of-the-art techniques, bringing the reader the latest technologies/methods being used to understand beach systems Presents a clear-and-concise description of processes and techniques that enables a clear understanding of coastal processes
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Autorenporträt
Kandethody M. Ramachandran is Professor of Mathematics and Statistics at the University of South Florida. His research interests are concentrated in the areas of applied probability, statistics, machine learning, and generative AI. His research publications span a variety of areas such as control of heavy traffic queues, stochastic delay systems, machine learning methods applied to game theory, finance, cyber security, health sciences, and other emerging areas. He is also co-author of three books. He is the founding director of the Interdisciplinary Data Sciences Consortium (IDSC). He is extensively involved in activities to improve statistics and mathematics education. He is a recipient of the Teaching Incentive Program award at the University of South Florida. He is also the PI of a two million dollar grant from NSF, and a co_PI of a 1.4 million grant from HHMI to improve STEM education at USF.