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
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