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Comment on ‘Wang W, Ding J. 2007. A multivariate non-parametric model for synthetic generation of daily streamflow. Hydrological Processes 21: 1764–1771’

✍ Scribed by Hafzullah Aksoy

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
39 KB
Volume
22
Category
Article
ISSN
0885-6087

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✦ Synopsis

Wang and Ding (2007)
present a daily streamflow simulation model based on the Gaussian kernel function. The model is found powerful in preserving statistical characteristics of the daily streamflow sequences. The purpose of this comment is to improve the presentation of the proposed model. To my understanding, the following three points were missed by Wang and Ding (2007)

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✍ Wensheng Wang; Jing Ding 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 34 KB

His third suggestion is that a sequence of generated daily streamflow to show the time-irreversible structure of the daily streamflow hydrograph should be listed. This is a good suggestion. Owing to a constraint on the number of pages, generated daily streamflow hydrographs were not sketched. Howeve

A multivariate non-parametric model for
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✍ Wensheng Wang; Jing Ding 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 208 KB

## Abstract A __p__‐order multivariate kernel density model based on kernel density theory has been developed for synthetic generation of multivariate variables. It belongs to a kind of data‐driven approach and is able to avoid prior assumptions as to the form of probability distribution (normal or