<div class="h1 fl" style="margin-left: 1em;">
<h1 id="subject_tpc" class="fl">Introductory Time Series with R (Use R)</h1></div>

<div class="tpc_content">

<div id="read_tpc" class="f14">Introductory Time Series with R (Use R)<br/>By Paul
S.P. Cowpertwait, Andrew V. Metcalfe<br/><br/><br/><br/>Publisher:   Springer
<br/>Number Of Pages:   278 <br/>Publication Date:   2009-05-29 <br/>ISBN-10 /
ASIN:   0387886974 <br/>ISBN-13 / EAN:   9780387886978 <br/><br/><br/>Product
Description: <br/><br/><br/>Yearly global mean temperature and ocean levels, daily
share prices, and the signals transmitted back to Earth by the Voyager space
craft are all examples of sequential observations over time known as time
series. This book gives you a step-by-step introduction to analysing time series
using the open source software R. Each time series model is motivated with
practical applications, and is defined in mathematical notation. Once the model
has been introduced it is used to generate synthetic data, using R code, and
these generated data are then used to estimate its parameters. This sequence
enhances understanding of both the time series model and the R function used to
fit the model to data. Finally, the model is used to analyse observed data taken
from a practical application. By using R, the whole procedure can be reproduced
by the reader. All the data sets used in the book are available on the website
<a target="_blank" href="http://www.massey.ac.nz/~pscowper/ts." id="url_1">http://www.massey.ac.nz/~pscowper/ts.</a><br/><br/>The book is
written for undergraduate students of mathematics, economics, business and
finance, geography, engineering and related disciplines, and postgraduate
students who may need to analyse time series as part of their taught programme
or their research.<br/><br/>Other download places<br/><br/><a target="_blank" href="http://ifile.it/kjt25i7/time_series_r.rar" id="url_2">http://ifile.it/kjt25i7/time_series_r.rar</a><br/><br/><a target="_blank" href="http://rapidshare.com/files/239528329/Introductory_Time_Series_with_R.rar" id="url_3">http://rapidshare.com/files/239528329/Introductory_Time_Series_with_R.rar</a></div></div>