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Item Details
Title: APPLIED STOCHASTIC MODELLING, SECOND EDITION
By: Byron J. T. Morgan
Format: Electronic book text

List price: £35.99


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ISBN 10: 1420011650
ISBN 13: 9781420011654
Publisher: TAYLOR & FRANCIS LTD
Pub. date: 2 December, 2008
Edition: 2nd New edition
Pages: 368
Description: 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. This work provides the option of using powerful computational tools for stochastic modelling.
Synopsis: 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 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 (R) 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.
Illustrations: 73 Illustrations, black and white
Publication: UK
Imprint: Chapman & Hall/CRC
Returns: Non-returnable
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