## 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
✦ LIBER ✦
Bayesian generation of synthetic streamflows: 2. The multivariate case
✍ Scribed by Valdés, Juan B.; Rodríguez-Iturbe, Ignacio; Vicens, Guillermo J.
- Book ID
- 119736251
- Publisher
- American Geophysical Union
- Year
- 1977
- Tongue
- English
- Weight
- 393 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0043-1397
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## 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 m