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Sprache:
Englisch
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Beschreibung
Practical Time Series Analysis for Data Science 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.
Practical Time Series Analysis for Data Science 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.
Über den Autor
Wayne Woodward, Bivin Sadler, Stephen Robertson
Inhaltsverzeichnis
1. Working with Data Collected Over Time, 2. Exploring Time Series Data, 3. Statistical Basics for Time Series Analysis, 4. The Frequency Domain, 5. ARMA Models, 6. ARMA Fitting and Forecasting, 7. ARIMA, Seasonal,and ARCH/GARCH Models, 8. Time Series Regression, 9. Model Assessment, 10. Multivariate Time Series, 11. Deep Neural Network Based Time Series Models
Details
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Importe, Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780367543891 |
| ISBN-10: | 0367543893 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Woodward, Wayne A.
Sadler, Bivin Philip Robertson, Stephen |
| Hersteller: | Chapman and Hall/CRC |
| Verantwortliche Person für die EU: | Taylor & Francis Verlag GmbH, Kaufingerstr. 24, D-80331 München, gpsr@taylorandfrancis.com |
| Maße: | 254 x 178 x 28 mm |
| Von/Mit: | Wayne A. Woodward (u. a.) |
| Erscheinungsdatum: | 27.05.2024 |
| Gewicht: | 0,985 kg |