Practical time series forecasting with R: a hands-on guide
This edition features the R fable package, full color, enhanced organization, and new material. It includes: Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensembles A practical approach to evaluating the performance of forec...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Green Cove Springs, Florida
Axelrod Schnall Publishers
2024
|
| Ausgabe: | 3.edition |
| Schlagworte: | |
| Zusammenfassung: | This edition features the R fable package, full color, enhanced organization, and new material. It includes: Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensembles A practical approach to evaluating the performance of forecasting solutions A business-analytics exposition focused on linking time-series forecasting to business goals Guided cases for integrating the acquired knowledge using real data End-of-chapter problems to facilitate active learning Data, R code, and instructor materials on companion website Affordable and globally-available textbook, available in hardcover, paperback, and Kindle formats Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, information systems, finance, and management. |
| Beschreibung: | 250 Seiten Illustrationen, Diagramme |
| ISBN: | 9780997847949 |
Internformat
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| 505 | 8 | |a Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time series data. | |
| 520 | 3 | |a This edition features the R fable package, full color, enhanced organization, and new material. It includes: Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensembles A practical approach to evaluating the performance of forecasting solutions A business-analytics exposition focused on linking time-series forecasting to business goals Guided cases for integrating the acquired knowledge using real data End-of-chapter problems to facilitate active learning Data, R code, and instructor materials on companion website Affordable and globally-available textbook, available in hardcover, paperback, and Kindle formats Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, information systems, finance, and management. | |
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Datensatz im Suchindex
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| author | Shmueli, Galit 1971- Polak, Julia |
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| bvnumber | BV049584479 |
| classification_rvk | QH 237 SK 820 SK 845 |
| contents | Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time series data. |
| ctrlnum | (OCoLC)1424559383 (DE-599)BVBBV049584479 |
| discipline | Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Mathematik Wirtschaftswissenschaften |
| edition | 3.edition |
| format | Book |
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| illustrated | Illustrated |
| index_date | 2024-07-03T23:32:26Z |
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| institution | BVB |
| isbn | 9780997847949 |
| language | English |
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| physical | 250 Seiten Illustrationen, Diagramme |
| publishDate | 2024 |
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| publisher | Axelrod Schnall Publishers |
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| spelling | Shmueli, Galit 1971- Verfasser (DE-588)137189265 aut Practical time series forecasting with R a hands-on guide Galit Shmueli, Julia Polak 3.edition Green Cove Springs, Florida Axelrod Schnall Publishers 2024 250 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time series data. This edition features the R fable package, full color, enhanced organization, and new material. It includes: Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensembles A practical approach to evaluating the performance of forecasting solutions A business-analytics exposition focused on linking time-series forecasting to business goals Guided cases for integrating the acquired knowledge using real data End-of-chapter problems to facilitate active learning Data, R code, and instructor materials on companion website Affordable and globally-available textbook, available in hardcover, paperback, and Kindle formats Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, information systems, finance, and management. Statistik (DE-588)4056995-0 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf R Programm (DE-588)4705956-4 s Zeitreihenanalyse (DE-588)4067486-1 s DE-604 Statistik (DE-588)4056995-0 s Polak, Julia Verfasser aut |
| spellingShingle | Shmueli, Galit 1971- Polak, Julia Practical time series forecasting with R a hands-on guide Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time series data. Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4705956-4 (DE-588)4067486-1 |
| title | Practical time series forecasting with R a hands-on guide |
| title_auth | Practical time series forecasting with R a hands-on guide |
| title_exact_search | Practical time series forecasting with R a hands-on guide |
| title_exact_search_txtP | Practical time series forecasting with R a hands-on guide |
| title_full | Practical time series forecasting with R a hands-on guide Galit Shmueli, Julia Polak |
| title_fullStr | Practical time series forecasting with R a hands-on guide Galit Shmueli, Julia Polak |
| title_full_unstemmed | Practical time series forecasting with R a hands-on guide Galit Shmueli, Julia Polak |
| title_short | Practical time series forecasting with R |
| title_sort | practical time series forecasting with r a hands on guide |
| title_sub | a hands-on guide |
| topic | Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd |
| topic_facet | Statistik R Programm Zeitreihenanalyse |
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