Autorzy | |
Wydawnictwo | Elsevier S & T |
Data wydania | 19/09/2014 |
Wydanie | Drugie |
Forma publikacji | eBook: Reflowable eTextbook (ePub) |
Język | angielski |
ISBN | 9780124171329 |
Kategorie | Prawdopodobieństwo i statystyka |
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.
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