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Applied Stochastic Modelling, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by BYRON J.T.MORGAN, Morgan, Byron J.T., Bryon J.T. Morgan, Byron J. T Morgan, Byron J.T. Morgan is a nonfiction available to read on EtoBox.
What is Applied Stochastic Modelling, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) about?
Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. Along with an updated bibliography and improved figures, this edition offers numerous updates throughout.New to the Second EditionAn extended discussion on Bayesian methodsA large number of new exercisesA new appendix on computational methodsThe book covers both contemporary and classical aspects of statistics, including survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap, and generalised linear models. Although the book can be used without reference to computational programs, the author provides the option of using powerful computational tools for stochastic modelling. All of the data sets and MATLAB® and R programs found in the text as well as lecture slides and other ancillary material are available for download at www.crcpress.comContinuing in the bestselling tradition of its predecessor, this textbook remains
Who reads Applied Stochastic Modelling, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- BYRON J.T.MORGAN, Morgan, Byron J.T., Bryon J.T. Morgan, Byron J. T Morgan, Byron J.T. Morgan
- Publisher
- CRC Press LLC
- Published
- 2009
- Language
- EN
- ISBN
- 9781138469693
- Category
- nonfiction
- Subjects
- Mathematics, Mathematical Statistics, Stem
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