Applied stochastic modelling

The last 30 years have seen many exciting major developments in the theory and practice of statistics. This new book is a senior undergraduate and postgraduate text covering many of the most important of these advances. As well as covering modern techniques, the material of the book integrates and r...

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Bibliographic Details
Main Author: Morgan, Byron J.T. 1946-
Format: Book
Language:English
Published: London Arnold 2000
Series:Arnold texts in statistics
Subjects:
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040 |a UPNM 
090 |a QA 274  |b .M67 2000 
100 1 |a Morgan, Byron J.T.  |d 1946- 
245 1 0 |a Applied stochastic modelling  |c Byron J.T. Morgan 
260 |a London  |b Arnold  |c 2000 
300 |a xxii, 297 p.  |b ill.  |c 24 cm 
490 1 |a Arnold texts in statistics 
504 |a Includes bibliographical references and index 
505 0 |a Basic model fitting -- Function optimization -- Basic likehood tools -- General priciples -- Simulation techniques -- Bayesian methods and Markov chain Monte Carlo -- General families of models. 
520 |a The last 30 years have seen many exciting major developments in the theory and practice of statistics. This new book is a senior undergraduate and postgraduate text covering many of the most important of these advances. As well as covering modern techniques, the material of the book integrates and revises standard probability and statistical theory. As much modern statistical work is implemented using a computer, over 50 short MATLAB programs are incorporated in the book." "This text provides a thorough grounding in the construction, fitting and evaluation of statistical and stochastic models. It is written by one of the leading authorities in the field, who has had great success teaching this material at a variety of levels. 
650 0 |a Stochastic processes  |x Mathematical models 
830 0 |a Arnold texts in statistics 
999 |a vtls000021003  |c 31177  |d 31177