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Titlebook: Introductory Time Series with R; Andrew V. Metcalfe,Paul S.P. Cowpertwait Textbook 2009 Springer Science+Business Media, LLC, part of Spri

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發(fā)表于 2025-3-21 16:06:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Introductory Time Series with R
編輯Andrew V. Metcalfe,Paul S.P. Cowpertwait
視頻videohttp://file.papertrans.cn/475/474494/474494.mp4
概述Motivated with real cases addressing contemporary issues.Detailed explanations of the use of R for time series analysis.Includes supplementary material:
叢書名稱Use R!
圖書封面Titlebook: Introductory Time Series with R;  Andrew V. Metcalfe,Paul S.P. Cowpertwait Textbook 2009 Springer Science+Business Media, LLC, part of Spri
描述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 http://staff.elena.aut.ac.nz/Paul-Cowpertwait/ts/..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..
出版日期Textbook 2009
關(guān)鍵詞Open Source; Stochastic model; Stochastic models; Time series; code; sets
版次1
doihttps://doi.org/10.1007/978-0-387-88698-5
isbn_softcover978-0-387-88697-8
isbn_ebook978-0-387-88698-5Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2009
The information of publication is updating

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Introductory Time Series with R978-0-387-88698-5Series ISSN 2197-5736 Series E-ISSN 2197-5744
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System Identification,it is the principle underlying the design of loudspeakers, and it describes the response of buildings to earthquakes. The squealing of disc brakes on a car is caused by vibration. The up and down motion of a ship at sea is a lowfrequency vibration. Spectral analysis provides the means for understanding and controlling vibration.
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Andrew V. Metcalfe,Paul S.P. CowpertwaitMotivated with real cases addressing contemporary issues.Detailed explanations of the use of R for time series analysis.Includes supplementary material:
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Use R!http://image.papertrans.cn/i/image/474494.jpg
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Correlation,n method of §1.5, we first calculate the seasonally adjusted time series and then remove the trend by subtraction. This leaves the random component, but the random component is not necessarily well modelled by independent random variables. In many cases, consecutive variables will be correlated. If
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