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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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Dettagli Bibliografici
Autore principale: Morgan, Byron J. T.
Natura: Printed Book
Lingua:English
Pubblicazione: Boca Raton : Chapman & Hall/CRC, 2008.
Edizione:2nd ed.
Serie:Texts in statistical science.
Soggetti:
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245 1 0 |a Applied stochastic modelling /  |c Bryon J.T. Morgan. 
250 |a 2nd ed. 
260 |a Boca Raton :  |b Chapman & Hall/CRC,  |c 2008. 
300 |a xiv, 345 p. :  |b ill. ;  |c 24 cm. 
490 1 |a Chapman & Hall/CRC texts in statistical science series 
504 |a Includes bibliographical references and index. 
520 1 |a "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. 
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