Articoli correlati a Introductory Time Series with R
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
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.
Dalla quarta di copertina
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 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.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 51,51
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costi
Risultati della ricerca per Introductory Time Series with R
Foto dell'editore
Introductory Time Series with R
Da: Better World Books, Mishawaka, IN, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Good. Used book that is in clean, average condition without any missing pages. Codice articolo 13668014-6
Quantità: 1 disponibili
Foto dell'editore
Introductory Time Series with R (Use R)
Da: medimops, Berlin, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Codice articolo M00387886974-V
Quantità: 1 disponibili
Immagini fornite dal venditore
Introductory Time Series with R
Editore:
Springer New York, 2009
ISBN 10: 0387886974
ISBN 13: 9780387886978
Nuovo
Kartoniert / Broschiert
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Easy to read Motivated with real cases addressing contemporary issues Detailed explanations of the use of R for time series analysisMotivated with real cases addressing contemporary issuesDetailed explanations of the use o. Codice articolo 5911485
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Introductory Time Series With R
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 6165306-n
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Introductory Time Series With R
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Codice articolo 6165306-5
Quantità: 4 disponibili
Immagini fornite dal venditore
Introductory Time Series With R
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition. Codice articolo 6165306
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Introductory Time Series with R
Editore:
Springer New York Jun 2009, 2009
ISBN 10: 0387886974
ISBN 13: 9780387886978
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 272 pp. Englisch. Codice articolo 9780387886978
Quantità: 2 disponibili
Foto dell'editore
Introductory Time Series with R (Use R!)
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9780387886978
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Introductory Time Series with R
Editore:
Springer New York, Springer New York Jun 2009, 2009
ISBN 10: 0387886974
ISBN 13: 9780387886978
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch. Codice articolo 9780387886978
Quantità: 2 disponibili
Foto dell'editore
Introductory Time Series with R (Use R!)
Da: SGS Trading Inc, Franklin Lakes, NJ, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLYNO ACCESS CODE, NO CD, Ships with Emailed Tracking. Codice articolo SKU0492931
Quantità: 2 disponibili