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Imputation Methods for Missing Hydrometeorological Data Estimation / / by Ramesh S.V. Teegavarapu



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Autore: Teegavarapu Ramesh S. V Visualizza persona
Titolo: Imputation Methods for Missing Hydrometeorological Data Estimation / / by Ramesh S.V. Teegavarapu Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (532 pages)
Disciplina: 551.48
Soggetto topico: Water
Hydrology
Statistics
Data mining
Engineering - Data processing
Data Mining and Knowledge Discovery
Data Engineering
Nota di contenuto: Introduction to Missing Data -- Methods for Imputation of Missing Data -- Temporal Interpolation Methods -- Spatial Interpolation Methods -- Data Driven Modes for Imputation -- Multiple Imputation Methods -- Evaluation of Methods and Imputed Data.
Sommario/riassunto: This book serves as a unique reference that provides a comprehensive discussion about the state-of-the-art spatial and temporal, statistical, and data mining methods for imputation of missing hydrometeorological data. The primary audience for this book are researchers, scientists, graduate-level and higher students, modelers, data scientists working in hydrological, meteorological, climatological, and earth sciences. Data analysts in other disciplines will also be interested in this book. The book appeals to graduate students, researchers in civil and environmental engineering, geosciences, climatology, and hydrological and data sciences. It will be an ideal reference book for state and federal agencies that collect and process hydrometeorological and climatological data. Engineering professionals, hydrologists, meteorologists, and data and spatial analysts dealing with large hydrometeorological datasets. Researchers and modelers involve in the development of long-term datasets at national and international institutions. .
Titolo autorizzato: Imputation Methods for Missing Hydrometeorological Data Estimation  Visualizza cluster
ISBN: 9783031609466
9783031609459
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910874670603321
Lo trovi qui: Univ. Federico II
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Serie: Water Science and Technology Library, . 1872-4663 ; ; 108