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Imputation Methods for Missing Hydrometeorological Data Estimation

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...

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Bibliographic Details
Main Author:	Teegavarapu, Ramesh S.V (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Water Science and Technology Library, 108
Subjects:	Water. Hydrology. Statistics . Data mining. Engineering > Data processing. Statistics. Data Mining and Knowledge Discovery. Data Engineering.
Online Access:	https://doi.org/10.1007/978-3-031-60946-6
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