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Statistical analysis of stochastic processes in time /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical analysis of stochastic processes in time // J.K. Lindsey.
Author:	Lindsey, James K.,
Description:	1 online resource (xiv, 338 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Stochastic processes. -
Online resource:	https://doi.org/10.1017/CBO9780511617164
ISBN:	9780511617164 (ebook)

Statistical analysis of stochastic processes in time /
Lindsey, James K.,

Statistical analysis of stochastic processes in time /J.K. Lindsey. - 1 online resource (xiv, 338 pages) :digital, PDF file(s). - Cambridge series on statistical and probabilistic mathematics ;14. - Cambridge series on statistical and probabilistic mathematics ;32..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

ISBN: 9780511617164 (ebook)Subjects--Topical Terms:

528256
Stochastic processes.

LC Class. No.: QA274 / .L54 2004

Dewey Class. No.: 519.2/3

Statistical analysis of stochastic processes in time /
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245 1 0 $a Statistical analysis of stochastic processes in time / $c J.K. Lindsey.
264 1 $a Cambridge : $b Cambridge University Press, $c 2004.
300 $a 1 online resource (xiv, 338 pages) : $b digital, PDF file(s).
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490 1 $a Cambridge series on statistical and probabilistic mathematics ; $v 14
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a 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.
650 0 $a Stochastic processes. $3 528256
776 0 8 $i Print version: $z 9780521837415
830 0 $a Cambridge series on statistical and probabilistic mathematics ; $v 32. $3 1133567
856 4 0 $u https://doi.org/10.1017/CBO9780511617164