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Mathematical Statistics with Applications in R (Paperback, 3rd edition)
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Mathematical Statistics with Applications in R (Paperback, 3rd edition)
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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.
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