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...

Whakaahuatanga katoa

Ngā taipitopito rārangi puna kōrero

Kaituhi matua:	Teegavarapu, Ramesh S.V (Author)
Kaituhi rangatōpū:	SpringerLink (Online service)
Hōputu:	Tāhiko īPukapuka
Reo:	Ingarihi
I whakaputaina:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Putanga:	1st ed. 2024.
Rangatū:	Water Science and Technology Library, 108
Ngā marau:	Water. Hydrology. Statistics . Data mining. Engineering > Data processing. Statistics. Data Mining and Knowledge Discovery. Data Engineering.
Urunga tuihono:	https://doi.org/10.1007/978-3-031-60946-6
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!