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Mathematical Statistics with Applications

Science and Technics


by
K.M. Ramachandran and Chris P. Tsokos

Book Details

Format: EPUB

Page count: 848 pages

File size: 22.6 MB

Protection: DRM

Language: English

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

* Student Solutions Manual, Instructors Manual and data disk available

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‚Ķ (more)

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

* Student Solutions Manual, Instructors Manual and data disk available

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