Applied Stochastic Modelling, 2nd Edition by Byron J.T. Morgan - ISBN: 9781138469693
Hardcover
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.

Applied Stochastic Modelling, 2nd Edition

$585.24

  • Hardcover

    368 pages

  • Release Date

    6 October 2017

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Summary

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 met…

Book Details

ISBN-13:9781138469693
ISBN-10:1138469696
Author:Byron J.T. Morgan
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Hardcover
Number of Pages:368
Edition:2nd
Release Date:6 October 2017
Weight:453g
Dimensions:178mm x 254mm
Series:Chapman & Hall/CRC Texts in Statistical Science
A-Format
B-Format
C-Format
Applied Stochastic Modelling, 2nd Edition by Byron J.T. Morgan - ISBN: 9781138469693
178 × 254 mm
A4
mm / in
What They're Saying

Critics Review

Praise for the First Edition

The author’s enthusiasm for his subject shines through this book. There are plenty of interesting example data sets … The book covers much ground in quite a short space … In conclusion, I like this book and strongly recommend it. It covers many of my favourite topics. In another life, I would have liked to have written it, but Professor Morgan has made a better job if it than I would have done.
—Tim Auton, Journal of the Royal Statistical Society

I am seriously considering adopting Applied Stochastic Modelling for a graduate course in statistical computation that our department is offering next term.
—Jim Albert, Journal of the American Statistical Association

…very well written, fresh in its style, with lots of wonderful examples and problems.
—R.P. Dolrow, Technometrics

A useful tool for both applied statisticians and stochastic model users of other fields, such as biologists, sociologists, geologists, and economists.
Zentralblatt MATH

The book is a delight to read, reflecting the author’s enthusiasm for the subject and his wide experience. The layout and presentation of material are excellent. Both for new research students and for experienced researchers needing to update their skills, this is an excellent text and source of reference.
Statistical Methods in Medical Research

About The Author

Byron J.T. Morgan

Byron J.T. Morgan

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