The practice and theory of statistics have developed rapidly over the past 25 years in tandem with the greatly increased power of computers. The advent of increased computer power has revolutionised the way in which statisticians can manipulate and analyze data. This volume collates together all the basic tools for statistical modelling, identifying the primary principles that are used.
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Editorial Reviews
Review
"This book deserves enthusiastic recommendation."--Statistical Papers
"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
"A useful tool for both applied statisticians and stochastic model users of other fields, such as biologists, sociologists, geologists and economists."--Zentralblatt MATH
"This senior undergraduate and postgraduate text covers the advances in the theory and practice of statistics over the last 30 years, as well as integrating and revising standard probability and statistical theory. Morgan (applied statistics, U. of Kent, Canterbury) covers a range of areas such as survival analysis, quantal assay, and capture- recapture. Over 50 short MATLAB computer problems are included."--SciTech Book News
"very well written, fresh in its style, with lots of wonderful examples and problems"--Robert Dobrow, Asst Professor, Carleton College, Northfield, Minnesota, in Technometics: A Journal of Statistics for the Physical, Chemical, and Engineering Sciences
"I strongly recommend this book. It should serve as an ideal and illuminating introduction to stochastic modelling for the suggested target audience it is a splendid achievement."--Dr Jim Kay, University of Glasgow, in MSOR Connections
"I enjoyed reading this book. It should appeal to a wide audience."--Professor C. D. Kemp, University Of St Andrews, in Short Book Reviews, Publication of the International Statistical Institute
"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
"A useful tool for both applied statisticians and stochastic model users of other fields, such as biologists, sociologists, geologists and economists."--Zentralblatt MATH
"This senior undergraduate and postgraduate text covers the advances in the theory and practice of statistics over the last 30 years, as well as integrating and revising standard probability and statistical theory. Morgan (applied statistics, U. of Kent, Canterbury) covers a range of areas such as survival analysis, quantal assay, and capture- recapture. Over 50 short MATLAB computer problems are included."--SciTech Book News
"very well written, fresh in its style, with lots of wonderful examples and problems"--Robert Dobrow, Asst Professor, Carleton College, Northfield, Minnesota, in Technometics: A Journal of Statistics for the Physical, Chemical, and Engineering Sciences
"I strongly recommend this book. It should serve as an ideal and illuminating introduction to stochastic modelling for the suggested target audience it is a splendid achievement."--Dr Jim Kay, University of Glasgow, in MSOR Connections
"I enjoyed reading this book. It should appeal to a wide audience."--Professor C. D. Kemp, University Of St Andrews, in Short Book Reviews, Publication of the International Statistical Institute
About the Author
Byron J. T. Morgan, Institute of Mathematic and Statistics, University of Kent, Canterbury.
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1 of 2 people found the following review helpful:
5.0 out of 5 stars
One of my favourites,
This review is from: Applied Stochastic Modelling (Arnold Texts in Statistics) (Paperback)
This book is definitely one of my favorite books on applied statistics. I have read it a couple of times now and it's just a hell of a great textbook. It illustrates general principles by example and is written very clear so that it is also accessible to non-mathematicians.
I might even buy the second edition that's coming up...
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