Mathematical statistics with applications in R
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...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
London, UK
Academic Press, imprint of Elsevier
2015©2015, 2015
|
| Edition: | Second edition |
| Subjects: | |
| Online Access: | |
| Collection: | Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa |
| Summary: | 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 |
|---|---|
| Physical Description: | online resource (xxiii, 800 pages) |
| ISBN: | 0124171133 9780124171138 012417132X 9780124171329 |