Mathematical statistics with applications in R / by Kandethody M. Ramachandran, Chris P. Tsokos
| Format: | Book Doctoral |
|---|---|
| Terbitan: |
Academic Press
, 2015
|
| Subjects: | |
| Online Access: |
http://lib.ui.ac.id/file?file=digital/2016-7/20427217-Mathematical Statistics with Applications in R.pdf |
Daftar Isi:
- 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.