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Published by Springer (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
Used Paperback
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From: HPB-Dallas (Dallas, TX, U.S.A.)
Item Description: Springer, 2009. Paperback. Book Condition: Good. Item may show signs of shelf wear. Pages may include limited notes and highlighting. Includes supplemental or companion materials if applicable. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority. Bookseller Inventory # mon0001272716
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Published by Springer New York 2009-06-09, Dordrecht |London (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Blackwell's (Oxford, OX, United Kingdom)
Item Description: Springer New York 2009-06-09, Dordrecht |London, 2009. paperback. Book Condition: New. Bookseller Inventory # 9780387886978
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Published by Springer-Verlag New York Inc., United States (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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Item Description: Springer-Verlag New York Inc., United States, 2009. Paperback. Book Condition: New. Language: English . Brand New Book. 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 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. Bookseller Inventory # LIB9780387886978
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Published by Springer-Verlag New York Inc., United States (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
New Paperback
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From: The Book Depository (London, United Kingdom)
Item Description: Springer-Verlag New York Inc., United States, 2009. Paperback. Book Condition: New. Language: English . Brand New Book. 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 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. Bookseller Inventory # LIB9780387886978
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Published by Springer-Verlag New York Inc. (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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Item Description: Springer-Verlag New York Inc., 2009. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9780387886978
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Published by Springer (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
Used Paperback
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From: HPB-Dallas (Dallas, TX, U.S.A.)
Item Description: Springer, 2009. Paperback. Book Condition: Acceptable. shelf wear Item is intact, but may show shelf wear. Pages may include notes and highlighting. May or may not include supplemental or companion material. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority. Bookseller Inventory # mon0001268998
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Published by Springer-Verlag New York Inc. (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Books2Anywhere (Fairford, GLOS, United Kingdom)
Item Description: Springer-Verlag New York Inc., 2009. PAP. Book Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9780387886978
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Published by Springer (2017)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Murray Media (North Miami Beach, FL, U.S.A.)
Item Description: Springer, 2017. Paperback. Book Condition: New. Never used! This item is printed on demand. Bookseller Inventory # 0387886974
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ISBN 10: 0387886974 ISBN 13: 9780387886978
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Published by Springer (2016)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Ria Christie Collections (Uxbridge, United Kingdom)
Item Description: Springer, 2016. Paperback. Book Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Bookseller Inventory # ria9780387886978_lsuk
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ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: European-Media-Service Mannheim (Mannheim, Germany)
Item Description: Book Condition: New. Publisher/Verlag: Springer, Berlin | This book gives the reader a step-by-step introduction to analyzing time series using the open source software R. Each time series model is illustrated through practical applications addressing contemporary issues, and is defined in mathematical notation. | 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 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. | Time Series Data.- Correlation.- Forecasting Strategies.- Basic Stochastic Models.- Regression.- Stationary Models.- Non-stationary Models.- Long-Memory Processes.- Spectral Analysis.- System Identification.- Multivariate Models.- State Space Models. | Format: Paperback | Language/Sprache: english | 412 gr | 256 pp. Bookseller Inventory # K9780387886978
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Published by Springer (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Herb Tandree Philosophy Books (Stroud, GLOS, United Kingdom)
Item Description: Springer, 2009. Paperback. Book Condition: NEW. 9780387886978 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Bookseller Inventory # HTANDREE0274994
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Published by Springer
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: BuySomeBooks (Las Vegas, NV, U.S.A.)
Item Description: Springer. Paperback. Book Condition: New. Paperback. 256 pages. Dimensions: 8.9in. x 5.8in. x 0.8in.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 observeddata taken from apractical application. By using R, the whole procedure can be reproduced by the reader. pscowperts. 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9780387886978
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Published by Springer
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Ohmsoft LLC (Lake Forest, IL, U.S.A.)
Item Description: Springer. Book Condition: Brand New. FREE domestic ground shipping. Fast priority express available. Tracking service included. Ships from USA (United States of America). Bookseller Inventory # 0387886974
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ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Used Textbook Supply (Sturgeon Lake, MN, U.S.A.)
Item Description: Book Condition: Fine. Used book. May have cover wear and markings inside. Please do not buy used items expecting new suppliments. CD's, Access codes, or other suppliments are not included. Bookseller Inventory # 0387886974-LOCATION-26584
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Published by Springer (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
Used Paperback
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From: Ergodebooks (RICHMOND, TX, U.S.A.)
Item Description: Springer, 2009. Paperback. Book Condition: Used: Good. This item is printed on demand. Bookseller Inventory # SONG0387886974
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Published by Springer-Verlag Gmbh Jun 2009 (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Rhein-Team Lörrach Ivano Narducci e.K. (Lörrach, Germany)
Item Description: Springer-Verlag Gmbh Jun 2009, 2009. Taschenbuch. Book Condition: Neu. Neuware - 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 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. 256 pp. Englisch. Bookseller Inventory # 9780387886978
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ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Best Book Discounts (Temple Terrace, FL, U.S.A.)
Item Description: Book Condition: Very Good. In good condition and ready for quick shipment to any US location by an experienced and reliable seller. CDs and Access codes may not be included as is the case with most used books. Thanks for shopping with us!. Bookseller Inventory # 152515
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Published by Springer (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
New Paperback
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From: Ergodebooks (RICHMOND, TX, U.S.A.)
Item Description: Springer, 2009. Paperback. Book Condition: New. 2009. This item is printed on demand. Bookseller Inventory # DADAX0387886974
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Published by Springer-Verlag Gmbh Jun 2009 (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
New Taschenbuch
Quantity Available: 2
From: Rheinberg-Buch (Bergisch Gladbach, Germany)
Item Description: Springer-Verlag Gmbh Jun 2009, 2009. Taschenbuch. Book Condition: Neu. Neuware - 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 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. 256 pp. Englisch. Bookseller Inventory # 9780387886978
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Published by Springer-Verlag Gmbh Jun 2009 (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
New Taschenbuch
Quantity Available: 2
From: Agrios-Buch (Bergisch Gladbach, Germany)
Item Description: Springer-Verlag Gmbh Jun 2009, 2009. Taschenbuch. Book Condition: Neu. Neuware - 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 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. 256 pp. Englisch. Bookseller Inventory # 9780387886978
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Published by Springer (2017)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Murray Media (North Miami Beach, FL, U.S.A.)
Item Description: Springer, 2017. Paperback. Book Condition: New. Never used! This item is printed on demand. Bookseller Inventory # P110387886974
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Published by Springer (2017)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Murray Media (North Miami Beach, FL, U.S.A.)
Item Description: Springer, 2017. Paperback. Book Condition: Like New. Almost new condition. This item is printed on demand. Bookseller Inventory # P010387886974
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Published by Springer
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Russell Books (Victoria, BC, Canada)
Item Description: Springer. PAPERBACK. Book Condition: New. 0387886974 Special order direct from the distributor. Bookseller Inventory # ING9780387886978
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Published by Springer (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Ergodebooks (RICHMOND, TX, U.S.A.)
Item Description: Springer, 2009. Paperback. Book Condition: New. This item is printed on demand. Bookseller Inventory # INGM9780387886978
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Published by Springer (2017)
ISBN 10: 0387886974 ISBN 13: 9780387886978
Used Paperback
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From: Murray Media (North Miami Beach, FL, U.S.A.)
Item Description: Springer, 2017. Paperback. Book Condition: Very Good. Great condition with minimal wear, aging, or shelf wear. This item is printed on demand. Bookseller Inventory # P020387886974
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Published by Springer
ISBN 10: 0387886974 ISBN 13: 9780387886978
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Item Description: Springer. PAPERBACK. Book Condition: New. 0387886974 New! Sorry we don't offer expedited shipping on this item. -01x-. Bookseller Inventory # ATEX02102016KM0451
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Published by Springer-Verlag Gmbh Jun 2009 (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: AHA-BUCH GmbH (Einbeck, Germany)
Item Description: Springer-Verlag Gmbh Jun 2009, 2009. Taschenbuch. Book Condition: Neu. Neuware - 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 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. 254 pp. Englisch. Bookseller Inventory # 9780387886978
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Published by Springer (2009)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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From: Nearfine Books (Brooklyn, NY, U.S.A.)
Item Description: Springer, 2009. Book Condition: new. Shiny and new! Expect delivery in 20 days. Bookseller Inventory # 9780387886978-1
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Published by Springer (2014)
ISBN 10: 0387886974 ISBN 13: 9780387886978
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Item Description: Springer, 2014. PAPERBACK. Book Condition: New. 0387886974. Bookseller Inventory # 01.UCLA9780387886978
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