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Student Solutions Manual, Mathematical Statistics with Applications

1st Edition - March 25, 2009

Authors: Kandethody M. Ramachandran, Chris P. Tsokos

Paperback ISBN:
9 7 8 - 0 - 1 2 - 3 8 5 4 9 5 - 7
eBook ISBN:
9 7 8 - 0 - 0 8 - 0 9 6 4 4 3 - 0

Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as… Read more

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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.

Step-by-step procedure to solve real problems, making the topic more accessible

Exercises blend theory and modern applications

Practical, real-world chapter projects

Provides an optional section in each chapter on using Minitab, SPSS and SAS commands