Multivariate nonparametric resampling scheme for generation of daily weather variables

DOI10.1007/BF02428426zbMath0929.62113OpenAlexW2009678996WikidataQ58075903 ScholiaQ58075903MaRDI QIDQ1370388

D. S. Bowles, Upmanu Lall, Balaji Rajagopalan, David G. Tarboton

Publication date: 31 January 2000

Published in: Stochastic Hydrology and Hydraulics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02428426

zbMATH Keywords

kernel density estimatemultivariate conditional probability density function

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to environmental and related topics (62P12) Nonparametric statistical resampling methods (62G09) Hydrology, hydrography, oceanography (86A05) Meteorology and atmospheric physics (86A10)

Related Items

The threshold bootstrap and threshold jackknife

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Evaluation of kernel density estimation methods for daily precipitation resampling
• Bootstrap methods: another look at the jackknife
• Kernel bandwidth selection for a first order nonparametric streamflow simulation model
• The jackknife and the bootstrap for general stationary observations
• Multivariate plug-in bandwidth selection
• Remarks on Some Nonparametric Estimates of a Density Function
• On Smoothing Sparse Multinomial Data
• Cross-Validation of Multivariate Densities
• A kernel estimator for discrete distributions