Rainfall estimation using raingages and radar - a Bayesian approach. II: An application
type: Item
instance of: scholarly article
title: Rainfall estimation using raingages and radar - a Bayesian approach. II: An application
zbMATH Open document ID: 0729.62110
DOI: 10.1007/BF01544176
author: N. E. Zubov
published in: Stochastic Hydrology and Hydraulics
publication date: 1991-01-01T00:00:00Z
review text: The estimators constructed in part I of this paper, see the preceding review, Zbl 0729.62109, are evaluated via cross-validation using hourly radar rainfall data and simulated hourly raingage data. Generation of raingage data is based on sample statistics of actual raingage measurements and radar rainfall data. The estimators are compared with lognormal co-kriging and nonparametric estimators. The Bayesian estimators are shown to provide some improvement over lognormal co- kriging under the criteria of mean error, root mean square error, and standardized mean square error.
Mathematics Subject Classification ID: 62P99
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 86A10
Mathematics Subject Classification ID: 86A05
zbMATH DE Number: 4205699
zbMATH Keywords: cross-validation
zbMATH Keywords: hourly radar rainfall data
zbMATH Keywords: simulated hourly raingage data
zbMATH Keywords: lognormal co-kriging
zbMATH Keywords: nonparametric estimators
zbMATH Keywords: mean error
zbMATH Keywords: root mean square error
zbMATH Keywords: standardized mean square error
MaRDI profile type: Publication
cites work: Q4497726
full work available at URL: https://doi.org/10.1007/bf01544176
OpenAlex ID: W2037060123
description: scientific article; zbMATH DE number 4205699