Home » Applied Stochastic Modelling by Byron J.T. Morgan
Applied Stochastic Modelling Byron J.T. Morgan

Applied Stochastic Modelling

Byron J.T. Morgan

Published December 1st 2008
ISBN : 9781584886662
Paperback
345 pages
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 About the Book 

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 alsoMoreHighlighting 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 methods A large number of new exercises A 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 an excellent resource for teaching students how to fit stochastic models to data.