Introductory Time Series With R

Author: Paul S.P. Cowpertwait
Publisher: Springer Science & Business Media
ISBN: 0387886982
Size: 46.73 MB
Format: PDF, ePub
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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.

Analysis Of Integrated And Cointegrated Time Series With R

Author: Bernhard Pfaff
Publisher: Springer Science & Business Media
ISBN: 0387759670
Size: 31.77 MB
Format: PDF, Kindle
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Time Series Analysis With Applications in R, Second Ed., presents 2008. 2nd Ed.,
494 pp. (Springer Texts in Statistics) Hardcover ISBN 0-387-75958-6 Time Series
Analysis and Its Applications with R Examples Robert H. Shumway and David S.
Stoffer This book presents a balanced and comprehensive treatment of both time
and frequency domain methods with accompanying theory. Numerous examples
using non-trivial data illustrate solutions to problems such as evaluating pain ...

Der Seltsame Fall Des Dr Jekyll Und Mr Hyde

Author: Robert Louis Stevenson
Publisher: BoD – Books on Demand
ISBN: 3958704832
Size: 64.25 MB
Format: PDF, Kindle
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Der schottische Schriftsteller Robert Louis Balfour Stevenson (1850-1894) schuf mit »Die Schatzinsel« und »Der seltsame Fall des Dr. Jekyll und Mr. Hyde« zwei Klassiker der Weltliteratur, die unzählige Male verfilmt wurden und ihn ...

Mastering Predictive Analytics With R

Author: Rui Miguel Forte
Publisher: Packt Publishing Ltd
ISBN: 1783982810
Size: 72.38 MB
Format: PDF, Mobi
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For MA processes, and indeed all the time series models discussed in this
chapter, there are a number of very useful references with examples in R. An
excellent text from the Use R! series of Springer is Introductory Time Series by
Cowpertwait and Metcalfe. We also recommend Time Series Analysis With
Applications in R, Cryer and Chan, Springer. In R, we can simulate MA processes
(among others) using the arima.sim() function. This is actually a general function
that we will use ...

R Data Visualization Cookbook

Author: Atmajitsinh Gohil
Publisher: Packt Publishing Ltd
ISBN: 1783989513
Size: 76.18 MB
Format: PDF, ePub, Docs
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We can extract different elements from a time series such as trend or seasonality.
The residual series is the series that is free from both, trend and seasonality. R
provides us with the tools to conduct time series analysis very efficiently. It is not
possible to cover the topic of time series analysis in detail and I would highly
recommend readers to refer to Introductory Time Series with R given in the See
also section. In this recipe, we will explore a simple additive decomposition
model.

Time Series Analysis And Its Applications

Author: Robert H. Shumway
Publisher: Springer Science & Business Media
ISBN: 1441978658
Size: 17.70 MB
Format: PDF, ePub
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Also new to this edition is the enhanced use of the freeware statistical package R. In particular, R code is now included in the text for nearly all of the numerical examples.

Applied Time Series Analysis With R Second Edition

Author: Wayne A. Woodward
Publisher: CRC Press
ISBN: 1498734316
Size: 10.91 MB
Format: PDF, Mobi
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We continue to believe that this book is a one-of-a-kind book for teaching
introductory time series. We make every effort to not only present a compendium
of models and methods supplemented by a few examples along the way. Instead,
we dedicate extensive coverage designed to provide insight into the models, we
discuss features of realizations from various models, and we give caveats
regarding the use and interpretation of results based on the models. We have
used the book ...

Introductory Statistics With R

Author: Peter Dalgaard
Publisher: Springer Science & Business Media
ISBN: 9780387790534
Size: 34.87 MB
Format: PDF, ePub
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Software for Data Analysis Programming with R John M. Chambers This book
guides the reader through programming with R, beginning with simple interactive
use and progressing by gradual stages, starting with simple functions. ... 510 pp. (
Statistics and Computing) Hardcover ISBN 978-0-387-75935-7 Time Series
Analysis with Applications in R Jonathan D. Cryer and Kung-Sik Chan Time
Series Analysis With Applications in R, Second Ed., presents an accessible
approach to ...