Applied Stochastic Modelling by Byron Jt Morgan
Derived from a series of talks on aspects of modern statistics for fitting stochastic models to data, commissioned by statisticians at Pfizer Central Research in Sandwich, Kent, UK, Applied Stochastic Modelling, Second Edition presents many of the most important developments and advances in the theory and practice of statistics. Along with coverage of modern techniques, this book integrates and revises standard probability and statistical theory. It also includes over 50 short MATLAB programs as well as S-PLUS versions of these programs, all available from the book's website. This is an ideal textbook and reference source for researchers, undergraduate students, and graduate students in mathematics and statistics.-
Practical Statistics for Medical Research
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Statistical Rethinking
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Bayesian Data Analysis
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Introduction to Multivariate Analysis
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Introduction to Probability, Second Edition
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An Introduction to Generalized Linear Models, Second Edition
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The Analysis of Time Series
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Statistics for Technology
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Modelling Survival Data in Medical Research
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Bayesian Data Analysis, Second Edition
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Statistics for Epidemiology
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Problem Solving
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An Introduction to Generalized Linear Models, First Edition
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Epidemiology
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The BUGS Book
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Modern Data Science with R
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Statistical Inference
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Statistics in Research and Development
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Modelling Survival Data in Medical Research, Second Edition
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An Introduction to Generalized Linear Models
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Applied Non-Parametric Statistical Methods, Second Edition
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Surrogates
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Statistics in Engineering
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Multivariate Analysis of Variance and Repeated Measures
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Elements of Simulation
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Computer-Aided Multivariate Analysis, Fourth Edition
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Applied Nonparametric Statistical Methods, Third Edition
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Statistics in Human Genetics and Molecular Biology
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Pragmatics of Uncertainty
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Markov Chain Monte Carlo
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Nonparametric Inference
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Foundations of Bayesian Statistics for Data Scientists
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Time Series
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Introduction to Modern Randomization-Based Design and Analysis for Causal Inference
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A Course in Regression and Smoothing Methods
Praise for the First Edition
The author’s enthusiasm for his subject shines through this bookThere 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
| SKU | Unavailable |
| ISBN 13 | 9781584886662 |
| ISBN 10 | 1584886668 |
| Title | Applied Stochastic Modelling |
| Author | Byron Jt Morgan |
| Series | Chapman And Hall Crc Texts In Statistical Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Inc |
| Year published | 2008-12-02 |
| Number of pages | 368 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |