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Statistical Analysis of Stochastic Processes in Time (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 14) - Softcover
Book 11 of 64: Cambridge Series in Statistical and Probabilistic Mathematics
Synopsis
This introduction to ways of modelling a wide variety of phenomena that occur over time is accessible to anyone with a basic knowledge of statistical ideas. J.K. Lindsey concentrates on tractable models involving simple processes for which explicit probability models, hence likelihood functions, can be specified. (These models are the most useful in statistical applications modelling empirical data.) Examples are drawn from physical, biological and social sciences, to show how the book's underlying ideas can be applied, and data sets and R code are supplied for them. Author resource page: http://popgen.unimaas.nl/~jlindsey/books.html
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Review
"Well-written, enjoyable."
Technometrics
"This book is an extraordinary piece of literature which gives the non-fluent statistician the ability to model random events. It is simply a masterpiece and even the most experienced statistician will learn a thing or two from this text...Examples in this text not only use real data but also carry the reader through the entire statistical thinking process...The book is well written and would be good reading for applied statisticians as well as all post-graduate and faculty members who interact with data. Libraries should purchase a copy."
Journal of the Royal Statistical Society
"...I envision an audience of masters-and doctoral-level epidemiology and biostatistics students who could benefit from a course from this text. Students with a fear of the technical mathematics of stochastics, but with a need for practical analyses of time-correlated data, may find this text useful before a formal course in stochastics."
Robert Lund, Journal of the American Statistical Association
"The text is aimed at scientists looking for realistic statistical models to help in understanding and explaining the specific conditions of their empirical data."
Quarterly of Applied Mathematics
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Statistical Analysis of Stochastic Processes in Time (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 14)
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ISBN 10: 1107405327
ISBN 13: 9781107405325
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Statistical Analysis of Stochastic Processes in Time
Published by
Cambridge University Press, 2012
ISBN 10: 1107405327
ISBN 13: 9781107405325
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Condition: New. This 2004 book introduces ways of modelling phenomena that occur over time. Covers stochastic processes, survival analysis, time series and more. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 354 pages, black & white illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 19. Weight in Grams: 570. . 2012. Paperback. . . . . Seller Inventory # V9781107405325
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Statistical Analysis of Stochastic Processes in Time
Published by
Cambridge University Press, 2012
ISBN 10: 1107405327
ISBN 13: 9781107405325
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Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.
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Condition: New. This 2004 book introduces ways of modelling phenomena that occur over time. Covers stochastic processes, survival analysis, time series and more. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 354 pages, black & white illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 19. Weight in Grams: 570. . 2012. Paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9781107405325
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Statistical Analysis of Stochastic Processes in Time (Paperback)
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ISBN 10: 1107405327
ISBN 13: 9781107405325
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Paperback. Condition: new. Paperback. This book was first published in 2004. Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. This book introduces practical methods of applying stochastic processes to an audience knowledgeable only in basic statistics. It covers almost all aspects of the subject and presents the theory in an easily accessible form that is highlighted by application to many examples. These examples arise from dozens of areas, from sociology through medicine to engineering. Complementing these are exercise sets making the book suited for introductory courses in stochastic processes. Software (available from is provided for the freely available R system for the reader to apply to all the models presented. This 2004 introduction to ways of modelling phenomena that occur over time is accessible to anyone with a basic knowledge of statistical ideas. Examples from physical, biological and social sciences show how the principles can be put into practice: data sets and R code for these are supplied on author's website. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107405325
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Statistical Analysis of Stochastic Processes in Time
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This 2004 introduction to ways of modelling phenomena that occur over time is accessible to anyone with a basic knowledge of statistical ideas. Examples from physical, biological and social sciences show how the principles can be put into practice: data set. Seller Inventory # 447217576
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Statistical Analysis of Stochastic Processes in Time
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Taschenbuch. Condition: Neu. Statistical Analysis of Stochastic Processes in Time | J. K. Lindsey | Taschenbuch | Kartoniert / Broschiert | Englisch | 2012 | Cambridge University Press | EAN 9781107405325 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 106379212
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Statistical Analysis of Stochastic Processes in Time (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 14)
Published by
Cambridge University Press, 2012
ISBN 10: 1107405327
ISBN 13: 9781107405325
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