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. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods.