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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 ? 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
Elsevier Science; March 2009
848 pages; ISBN 9780080951706
Read online, or download in EPUB or secure PDF format
848 pages; ISBN 9780080951706
Read online, or download in EPUB or secure PDF format
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0080951708
9780080951706
9780123748485