Mathematical Statistics with Applications in R

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Mathematical Statistics with Applications in R, Second 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 the discussion on the theory of statistics ...

Mathematical Statistics with Applications in R 2014, Academic Press Inc, San Diego

ISBN-13: 9780124171138

2nd edition

Hardcover

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