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The Resource Introductory Time Series with R, by Paul S.P. Cowpertwait, Andrew V. Metcalfe, (electronic resource)
Introductory Time Series with R, by Paul S.P. Cowpertwait, Andrew V. Metcalfe, (electronic resource)
Resource Information
The item Introductory Time Series with R, by Paul S.P. Cowpertwait, Andrew V. Metcalfe, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.This item is available to borrow from all library branches.
Resource Information
The item Introductory Time Series with R, by Paul S.P. Cowpertwait, Andrew V. Metcalfe, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.
This item is available to borrow from all library branches.
 Summary
 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 stepbystep 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/PaulCowpertwait/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. Paul Cowpertwait is an associate professor in mathematical sciences (analytics) at Auckland University of Technology with a substantial research record in both the theory and applications of time series and stochastic models. Andrew Metcalfe is an associate professor in the School of Mathematical Sciences at the University of Adelaide, and an author of six statistics text books and numerous research papers. Both authors have extensive experience of teaching time series to students at all levels
 Language

 eng
 eng
 Edition
 1st ed. 2009.
 Extent
 1 online resource (267 p.)
 Note
 Description based upon print version of record
 Contents

 Time Series Data
 Correlation
 Forecasting Strategies
 Basic Stochastic Models
 Regression
 Stationary Models
 Nonstationary Models
 LongMemory Processes
 Spectral Analysis
 System Identification
 Multivariate Models
 State Space Models
 Isbn
 9780387886985
 Label
 Introductory Time Series with R
 Title
 Introductory Time Series with R
 Statement of responsibility
 by Paul S.P. Cowpertwait, Andrew V. Metcalfe
 Language

 eng
 eng
 Summary
 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 stepbystep 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/PaulCowpertwait/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. Paul Cowpertwait is an associate professor in mathematical sciences (analytics) at Auckland University of Technology with a substantial research record in both the theory and applications of time series and stochastic models. Andrew Metcalfe is an associate professor in the School of Mathematical Sciences at the University of Adelaide, and an author of six statistics text books and numerous research papers. Both authors have extensive experience of teaching time series to students at all levels
 http://library.link/vocab/creatorName
 Cowpertwait, Paul S.P
 Dewey number
 519.5/5
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut

 8kLuAYx43xM
 PZcDsHANHU
 Language note
 English
 LC call number

 QA273.A1274.9
 QA274274.9
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName
 Metcalfe, Andrew V.
 Series statement
 Use R!,
 http://library.link/vocab/subjectName

 Distribution (Probability theory
 Mathematical statistics
 Computer science
 Marketing
 Econometrics
 Probability Theory and Stochastic Processes
 Statistical Theory and Methods
 Probability and Statistics in Computer Science
 Marketing
 Econometrics
 Signal, Image and Speech Processing
 Label
 Introductory Time Series with R, by Paul S.P. Cowpertwait, Andrew V. Metcalfe, (electronic resource)
 Note
 Description based upon print version of record
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code
 cr
 Content category
 text
 Content type code
 txt
 Contents
 Time Series Data  Correlation  Forecasting Strategies  Basic Stochastic Models  Regression  Stationary Models  Nonstationary Models  LongMemory Processes  Spectral Analysis  System Identification  Multivariate Models  State Space Models
 Dimensions
 unknown
 Edition
 1st ed. 2009.
 Extent
 1 online resource (267 p.)
 Form of item
 online
 Isbn
 9780387886985
 Media category
 computer
 Media type code
 c
 Other control number
 10.1007/9780387886985
 Specific material designation
 remote
 System control number

 (CKB)1000000000754133
 (EBL)450521
 (OCoLC)432719124
 (SSID)ssj0000183114
 (PQKBManifestationID)11168338
 (PQKBTitleCode)TC0000183114
 (PQKBWorkID)10194574
 (PQKB)10595202
 (DEHe213)9780387886985
 (MiAaPQ)EBC450521
 (EXLCZ)991000000000754133
 Label
 Introductory Time Series with R, by Paul S.P. Cowpertwait, Andrew V. Metcalfe, (electronic resource)
 Note
 Description based upon print version of record
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code
 cr
 Content category
 text
 Content type code
 txt
 Contents
 Time Series Data  Correlation  Forecasting Strategies  Basic Stochastic Models  Regression  Stationary Models  Nonstationary Models  LongMemory Processes  Spectral Analysis  System Identification  Multivariate Models  State Space Models
 Dimensions
 unknown
 Edition
 1st ed. 2009.
 Extent
 1 online resource (267 p.)
 Form of item
 online
 Isbn
 9780387886985
 Media category
 computer
 Media type code
 c
 Other control number
 10.1007/9780387886985
 Specific material designation
 remote
 System control number

 (CKB)1000000000754133
 (EBL)450521
 (OCoLC)432719124
 (SSID)ssj0000183114
 (PQKBManifestationID)11168338
 (PQKBTitleCode)TC0000183114
 (PQKBWorkID)10194574
 (PQKB)10595202
 (DEHe213)9780387886985
 (MiAaPQ)EBC450521
 (EXLCZ)991000000000754133
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Architecture LibraryBorrow itGould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US35.205706 97.445050



Chinese Literature Translation ArchiveBorrow it401 W. Brooks St., RM 414, Norman, OK, 73019, US35.207487 97.447906

Engineering LibraryBorrow itFelgar Hall 865 Asp Avenue, Rm. 222, Norman, OK, 73019, US35.205706 97.445050

Fine Arts LibraryBorrow itCatlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US35.210371 97.448244

Harry W. Bass Business History CollectionBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

History of Science CollectionsBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

John and Mary Nichols Rare Books and Special CollectionsBorrow it401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US35.207487 97.447906


Price College Digital LibraryBorrow itAdams Hall 102 307 West Brooks St., Norman, OK, 73019, US35.210371 97.448244

Western History CollectionsBorrow itMonnet Hall 630 Parrington Oval, Rm. 300, Norman, OK, 73019, US35.209584 97.445414
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.libraries.ou.edu/portal/IntroductoryTimeSerieswithRbyPaulS.P./xjrs7sSb8hU/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.libraries.ou.edu/portal/IntroductoryTimeSerieswithRbyPaulS.P./xjrs7sSb8hU/">Introductory Time Series with R, by Paul S.P. Cowpertwait, Andrew V. Metcalfe, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.libraries.ou.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.libraries.ou.edu/">University of Oklahoma Libraries</a></span></span></span></span></div>