Statistical Analysis of Stochastic Processes in Time /

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 pro...

Full description

Bibliographic Details
Main Author: Lindsey, J. K., (Author)
Format: eBook
Language:English
Published: Cambridge : Cambridge University Press, 2004.
Series:Cambridge Series in Statistical and Probabilistic Mathematics ; 14.
Subjects:
Online Access:View fulltext via EzAccess
LEADER 02157nam a22003378i 4500
001 28199
003 UkCbUP
005 20160413044026.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 090915s2004||||enk o ||1 0|eng|d
020 # # |a 9780511617164 (ebook) 
020 # # |z 9780521837415 (hardback) 
020 # # |z 9781107405325 (paperback) 
040 # # |a UkCbUP  |b eng  |c UkCbUP  |e rda 
050 0 0 |a QA274  |b .L54 2004 
082 0 0 |a 519.2/3  |2 22 
100 1 # |a Lindsey, J. K.,  |e author. 
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 (354 pages) :  |b digital, PDF file(s). 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
490 0 # |a Cambridge Series in Statistical and Probabilistic Mathematics ;  |v 14 
500 # # |a Title from publisher's bibliographic system (viewed on 13 Apr 2016). 
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 
776 0 8 |i Print version:  |z 9780521837415 
830 # 0 |a Cambridge Series in Statistical and Probabilistic Mathematics ;  |v 14. 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1017/CBO9780511617164  |z View fulltext via EzAccess