Applied Stochastic Modelling (Chapman & Hall/CRC Texts in Statistical Science) - Hardcover

Morgan, Byron J.t.

Hardcover

ISBN 10: 1138469696 ISBN 13: 9781138469693

Verlag: Taylor & Francis Ltd, 2017

Inhaltsangabe

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 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.

Über diesen Titel

Über die Autorin bzw. den Autor

Byron J.T. Morgan

Details zur Ausgabe

• Verlag: Taylor & Francis Ltd
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 1138469696
• ISBN 13: 9781138469693
• Einband: Gebundene Ausgabe
• Auflage: 2
• Anzahl der Seiten: 368
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Taylor & Francis Verlag GmbH; GPSR@taylorandfrancis.com; ; Kaufingerstraße 24, 80331 München, Germany; München; Deutschland