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发表于 2025-3-26 21:36:57
Imputation Methods for Missing Hydrometeorological Data Estimation
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Ramesh S. V. Teegavarapuake sound clinical decisions in speci?c situations. We rely heavily on tables, diagrams, graphs, photographs, and other ?gures to convey this information. Subjects are addressed in a large number of chapters that each focus on a relatively narrow topic. In some cases, there is overlap between the in
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发表于 2025-3-27 08:21:06
Ramesh S. V. Teegavarapuake sound clinical decisions in speci?c situations. We rely heavily on tables, diagrams, graphs, photographs, and other ?gures to convey this information. Subjects are addressed in a large number of chapters that each focus on a relatively narrow topic. In some cases, there is overlap between the in
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发表于 2025-3-27 11:30:21
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Evaluation of Methods and Imputed Datasets,Any imputation method developed for the estimation of missing hydrometeorological, or climatological data needs to be evaluated using one or more error and performance measures that can assess the ability of the method to estimate the missing values efficiently.
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978-3-031-60948-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Imputation Methods for Missing Hydrometeorological Data Estimation978-3-031-60946-6Series ISSN 0921-092X Series E-ISSN 1872-4663
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发表于 2025-3-28 08:57:45
https://doi.org/10.1007/978-3-031-60946-6Missing data; Imputation Methods; Spatial Interpolation; Geostatistical Methods; Hydrometeorological Var
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发表于 2025-3-28 10:25:59
Ramesh S.V. TeegavarapuIs a reference work for those interested in methods for imputation of missing data.Focuses on hydrometeorological data infilling methods.Emphasizes on practical applications of the methods and elabora