Kandethody M. Ramachandran

Mathematical Statistics with Applications in R

Ebook (EPUB Format)

Mathematical Statistics with Applications in R, Third Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods, such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem-solving in a logical manner.… Mehr

CHF 145.75

Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)

Versandfertig innerhalb 1-3 Werktagen
Versandkostenfrei

Produktdetails

Weitere Autoren: Tsokos, Chris P.

ISBN: 978-0-12-817816-4
EAN: 9780128178164
Produktnummer: 35966419
Verlag: Elsevier Science & Techn.
Sprache: Englisch
Erscheinungsjahr: 2020
Seitenangabe: 704 S.
Plattform: EPUB
Masse: 93'610 KB
Auflage: 3. Auflage
Abbildungen: Approx. 300 illustrations

Über den Autor

Kandethody M Ramachandran is a Professor of Mathematics and Statistics at the University of South Florida (USF). His research interests are concentrated in the areas of applied probability and statistics. 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, and other areas, software reliability problems, applications of statistical methods to microarray data analysis, and streaming data analysis. 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 2 million dollar grant from NSF, and a co_PI of 1.4 million grant from HHMI to improve STEM education at USF.