Mathematical Statistics with Applications in R (ePub)

Name: Mathematical Statistics with Applications in R
Brand: Elsevier Science & Techn.
SKU: 138138102
Price: 169.90 CHF
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(Sprache: Englisch)

Autoren: Kandethody M. Ramachandran , Chris P. Tsokos

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Mathematical Statistics with Applications in R, Kandethody M. Ramachandran, Chris P. Tsokos

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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...

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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. Step-by-step procedure to solve real problems make the topics very accessible.

Presents step-by-step procedures to solve real problems, making each topic more accessible
Provides updated application exercises in each chapter, blending theory and modern methods with the use of R
Includes new chapters on Categorical Data Analysis and Extreme Value Theory with Applications
Wide array coverage of ANOVA, Nonparametric, Bayesian and empirical methods

Autoren-Porträt von Kandethody M. Ramachandran, Chris P. Tsokos

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.

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Bibliographische Angaben

Autoren: Kandethody M. Ramachandran , Chris P. Tsokos
2020, 3. Auflage, 704 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128178167
ISBN-13: 9780128178164
Erscheinungsdatum: 14.05.2020

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Dateiformat: ePub
Grösse: 89 MB
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