03377nam 22006375 450 991087467060332120240720125228.09783031609466(electronic bk.)978303160945910.1007/978-3-031-60946-6(MiAaPQ)EBC31538237(Au-PeEL)EBL31538237(CKB)33101367700041(DE-He213)978-3-031-60946-6(EXLCZ)993310136770004120240720d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierImputation Methods for Missing Hydrometeorological Data Estimation /by Ramesh S.V. Teegavarapu1st ed. 2024.Cham :Springer International Publishing :Imprint: Springer,2024.1 online resource (532 pages)Water Science and Technology Library,1872-4663 ;108Print version: Teegavarapu, Ramesh S. V. Imputation Methods for Missing Hydrometeorological Data Estimation Cham : Springer International Publishing AG,c2024 9783031609459 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.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. .Water Science and Technology Library,1872-4663 ;108WaterHydrologyStatisticsData miningEngineeringData processingWaterStatisticsData Mining and Knowledge DiscoveryData EngineeringWater.Hydrology.Statistics.Data mining.EngineeringData processing.Water.Statistics.Data Mining and Knowledge Discovery.Data Engineering.551.48Teegavarapu Ramesh S. V1749453MiAaPQMiAaPQMiAaPQ9910874670603321Imputation Methods for Missing Hydrometeorological Data Estimation4183684UNINA