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9780367537944 - Time Series for Data Science: Analysis and Forecasting di Woodward, Wayne A.; Sadler, Bivin Philip; Robertson, Stephen (26 risultati)
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Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceLingua: Inglese
Editore: Chapman and Hall/CRC (edition 1), 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Da: BooksRun, Philadelphia, PA, U.S.A.
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Hardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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hardcover. Condizione: Very good condition. some wear on cover,clean inside,fast ship.
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Time Series for Data Science : Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 131,27
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Time Series for Data Science
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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Time Series for Data Science : Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Time Series for Data Science
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: PBShop.store US, Wood Dale, IL, U.S.A.
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Time Series for Data Science : Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Practical Time Series Analysis for Data Science
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceLingua: Inglese
Editore: Chapman and Hall/CRC 2022-08-01, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Da: Chiron Media, Wallingford, Regno Unito
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EUR 151,63
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Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: Majestic Books, Hounslow, Regno Unito
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Time Series for Data Science : Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 153,67
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Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 157,52
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Time Series for Data Science: Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Prima edizione
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Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
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Time Series for Data Science
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceLingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Features:Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use.
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Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 191,21
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Practical Time Series Analysis for Data Science
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceEUR 164,72
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Aggiungi al carrelloCondizione: New. Wayne Woodward, Bivin Sadler, Stephen Robertson Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, L.
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Time Series for Data Science: Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: Kennys Bookstore, Olney, MD, U.S.A.
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Condizione: New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Time Series for Data Science: Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: Revaluation Books, Exeter, Regno Unito
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EUR 236,62
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Aggiungi al carrelloHardcover. Condizione: Brand New. 512 pages. 10.00x7.00x1.38 inches. In Stock.
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Time Series for Data Science
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceLingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Da: Rarewaves.com UK, London, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Features:Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use.
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WOODWARD PRACTICAL TIME SERIES ANAL
ISBN 10: 036753794X ISBN 13: 9780367537944
Da: Speedyhen, Hertfordshire, Regno Unito
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EUR 131,29
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Practical Time Series Analysis for Data Science
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 143,75
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Time Series for Data Science
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceLingua: Inglese
Editore: Chapman And Hall/CRC Aug 2022, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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EUR 155,50
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Science students and practitioners want to find a forecast that 'works' and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Features:Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use. 530 pp. Englisch.
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Time Series for Data Science: Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceDa: Revaluation Books, Exeter, Regno Unito
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EUR 188,06
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 512 pages. 10.00x7.00x1.38 inches. In Stock. This item is printed on demand.
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Time Series for Data Science : Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceEUR 172,52
Spedizione EUR 65,91
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Science students and practitioners want to find a forecast that 'works' and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Features:Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use.
-
Time Series for Data Science | Analysis and Forecasting
Libro 96: Chapman & Hall/CRC Texts in Statistical ScienceEUR 182,95
Spedizione EUR 70,00
Spedito da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Time Series for Data Science | Analysis and Forecasting | Wayne A. Woodward (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2022 | Chapman and Hall/CRC | EAN 9780367537944 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
