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Statistical Analysis of Stochastic Processes in Time (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 14) - Hardcover

Book 11 of 64: Cambridge Series in Statistical and Probabilistic Mathematics

Lindsey, J. K.

 
9780521837415: Statistical Analysis of Stochastic Processes in Time (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 14)
Hardcover
ISBN 10: 0521837413 ISBN 13: 9780521837415
Publisher: Cambridge University Press, 2004

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

"synopsis" may belong to another edition of this title.

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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Publisher
Cambridge University Press
Publication date
2004
Language
English
ISBN 10 
0521837413
ISBN 13 
9780521837415
Binding
Hardcover
Number of pages
338