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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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Bibliográfalaš dieđut
Váldodahkki: Teegavarapu, Ramesh S.V (Dahkki)
Searvvušdahkki: SpringerLink (Online service)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Cham : Springer International Publishing : Imprint: Springer, 2024.
Preanttus:1st ed. 2024.
Ráidu:Water Science and Technology Library, 108
Fáttát:
Water.
Hydrology.
Statistics .
Data mining.
Engineering > Data processing.
Statistics.
Data Mining and Knowledge Discovery.
Data Engineering.
Liŋkkat:https://doi.org/10.1007/978-3-031-60946-6
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Sisdoallologahallan:
  • 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.

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