Mathematical Statistics with Applications
- K.M. Ramachandran
- Chris Tsokos
Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required.
Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course