Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6207996127 ISBN 13: 9786207996124
Da: California Books, Miami, FL, U.S.A.
EUR 50,59
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6207996127 ISBN 13: 9786207996124
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2025, 2025
ISBN 10: 6207996127 ISBN 13: 9786207996124
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 43,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 88 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6207996127 ISBN 13: 9786207996124
Da: Majestic Books, Hounslow, Regno Unito
EUR 84,25
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2025
ISBN 10: 6207996127 ISBN 13: 9786207996124
Da: CitiRetail, Stevenage, Regno Unito
EUR 51,83
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book explores the importance of accurate rainfall forecasting for water resource management, agriculture, and disaster preparedness. It presents a comparative analysis of two forecasting models-Support Vector Regression (SVR) and Seasonal Auto Regressive Integrated Moving Average (SARIMA)-using historical rainfall data from 2008 to 2021 to predict trends from 2022 to 2026. Through statistical and visualization techniques such as trend analysis, moving averages, box plots, heatmaps, Z-scores, and density plots, the study identifies patterns and anomalies in rainfall data. While both models show good predictive ability, SVR demonstrates superior performance, especially in capturing complex, non-linear patterns. The book highlights the advantages of integrating machine learning methods with traditional statistical tools to improve rainfall forecasting and support data-driven decisions in agriculture, environmental planning, and climate resilience. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6207996127 ISBN 13: 9786207996124
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 84,55
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2025, 2025
ISBN 10: 6207996127 ISBN 13: 9786207996124
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 43,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores the importance of accurate rainfall forecasting for water resource management, agriculture, and disaster preparedness. It presents a comparative analysis of two forecasting models-Support Vector Regression (SVR) and Seasonal Auto Regressive Integrated Moving Average (SARIMA)-using historical rainfall data from 2008 to 2021 to predict trends from 2022 to 2026. Through statistical and visualization techniques such as trend analysis, moving averages, box plots, heatmaps, Z-scores, and density plots, the study identifies patterns and anomalies in rainfall data. While both models show good predictive ability, SVR demonstrates superior performance, especially in capturing complex, non-linear patterns. The book highlights the advantages of integrating machine learning methods with traditional statistical tools to improve rainfall forecasting and support data-driven decisions in agriculture, environmental planning, and climate resilience.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6207996127 ISBN 13: 9786207996124
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,59
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6207996127 ISBN 13: 9786207996124
Da: preigu, Osnabrück, Germania
EUR 38,70
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Time Series Analysis of Climatic Change | Trends in Temperature and Rainfall | Mani N (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786207996124 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.