Applied stochastic modelling /

"The 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 pr...

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Bibliographic Details
Main Author: Morgan, Byron J. T.,
Format: Printed Book
Language:English
Published: Boca Raton : Chapman & Hall/CRC, 2008.
Edition:2nd ed.
Series:Texts in statistical science.
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Summary:"The 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 programs found in the text are also available online." "Continuing in the bestselling tradition of its predecessor, this book remains an excellent resource for understanding how to fit stochastic models to data."--BOOK JACKET.
Physical Description:xiv, 345 p. : ill. ; 24 cm.
Bibliography:Includes bibliographical references and index.
ISBN:9781584886662