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Więcej informacji o Mathematical Statistics with Applications in R

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Opis

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. * Step-by-step procedure to solve real problems, making the topic more accessible * Exercises blend theory and modern applications * Practical, real-world chapter projects * Provides an optional section in each chapter on using Minitab, SPSS and SAS commands * Student Solutions Manual, Instructors Manual and data disk available * Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods.

Szczegóły książki

Kategoria Książki po angielsku Mathematics & science Mathematics Probability & statistics

• Pełny tytuł: Mathematical Statistics with Applications in R
• Autor: K. M. Ramachandran, Chris P. Tsokos
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 826
• EAN: 9780124171138
• ISBN: 0124171133
• ID: 02784978
• Wydawca: Elsevier Books
• Waga: 1760 g
• Wymiary: 242 × 188 × 39 mm
• Data wydania: 18. August 2014

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