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Statistical analysis of stochastic processes in time
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ISBN: 0521837413 0511211945 9780511211942 9780521837415 0511217315 9780511217319 0511215525 9780511215520 9780511617164 051161716X 9780511213717 0511213719 9786610540563 661054056X 1107161681 1280540567 0511315902 9781107405325 1107405327 Year: 2004 Volume: 14 Publisher: Cambridge : Cambridge University Press,

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Abstract

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 www.cambridge.org) is provided for the freely available R system for the reader to apply to all the models presented.

Modelling frequency and count data
Author:
ISBN: 0191660701 1280869852 9786610869855 0585180326 9780585180328 9780198523314 0198523319 0198523319 1383023921 Year: 1995 Volume: 15 Publisher: Oxford : New York : Clarendon Press ; Oxford University Press,

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Abstract

Lindsey presents a complete range of material on this subject which can be immediately used with the major statistical packages. The important distinctions between independent and dependent events - frequencies and counts - structures the book. Many of the important areas of modern statistics from generalized linear models to survival analysis are demonstrated to be special cases of categorical data analysis.

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