Applied Stochastic Modelling - Rilegato

Morgan, Byron J.T.

Rilegato

ISBN 10: 1138469696 ISBN 13: 9781138469693

Casa editrice: Chapman and Hall/CRC, 2017

Riassunto

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 Edition

An extended discussion on Bayesian methods
A large number of new exercises
A new appendix on computational methods

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 and R programs found in the text as well as lecture slides and other ancillary material are available for download at www.crcpress.com

Continuing in the bestselling tradition of its predecessor, this textbook remains an excellent resource for teaching students how to fit stochastic models to data.

Su questo libro

Informazioni sull'autore

Byron J.T. Morgan

Dettagli dell'edizione

• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 1138469696
• ISBN 13: 9781138469693
• Rilegatura: Copertina rigida
• Numero edizione: 2
• Numero di pagine: 368
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania