Mathematical statistics with applications in R

Mathematical Statistics with Applications, Second Edition, gives an up-to-date introduction to the theory of statistics with a wealth of real-world applications that will help students approach statistical problem solving in a logical manner. The book introduces many modern statistical computational...

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Bibliographic Details
Main Authors Ramachandran, K. M. (Author), Tsokos, Chris P. (Author)
Format Electronic eBook
LanguageEnglish
Published London, UK : Academic Press, imprint of Elsevier, 2015.
EditionSecond edition.
Subjects
Online AccessFull text
ISBN9780124171329
9780124171138
Physical Description1 online resource (xxiii, 800 pages)

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Summary:Mathematical Statistics with Applications, Second Edition, gives an up-to-date introduction to the theory of statistics with a wealth of real-world applications that will help students approach statistical problem solving in a logical manner. The book introduces 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. Goodness of fit methods are included to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Engineering students, especially, will find these methods to be very important in their studies.- Resumé vydavatel
Bibliography:Includes bibliographical references and index.
ISBN:9780124171329
9780124171138
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
Physical Description:1 online resource (xxiii, 800 pages)