Mathematical Statistics with Applications

by K.M. Ramachandran, Chris P. 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.

848 pages, Hardcover

First published March 2, 2009

Reviews

[Eshun · Rating 1 out of 5]

am not able to read

[Hillary Corwin · Rating 1 out of 5]

This is an essentially worthless textbook with many errors (there is an Amazon review that details them thoroughly). Even if it were correct, it is unneccessarily complicated and difficult to follow.