ENGLISH

Mathematical statistics with applications in R

By K M Ramachandran; Chris P Tsokos

Book information

Publisher
Academic Press is an imprint of Elsevier
Year
2015
ISBN
978-0-12-417113-8, 0124171133
Language
english
Format
PDF
Filesize
36 MB (37320598 bytes)
Edition
2
Pages
803\803
Time added
2014-11-04 21:00:00

Description

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 accessibleExercises blend theory and modern applicationsPractical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commandsWide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methodsInstructors Manual; Solutions to Selected Problems, data sets, and image bank for students

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