Zobrazeno 1 - 7
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pro vyhledávání: '"Umed Singh Panu"'
Publikováno v:
Journal of Hydrology. 342:17-41
Summary The existence of outliers in data sets affects the decision-making process related to design, operation, and management of water resources. Insufficient information on outliers limits our understanding and predictive ability of such extreme h
Publikováno v:
Journal of Hydrology. 297:74-94
Uniqueness of the problem surrounding non-detects has been a concern alike to researchers and statisticians dealing with summary statistics while analyzing censored data. To incorporate non-detects in the estimation process, a simple substitution by
Publikováno v:
Journal of Hydrology. 241:153-176
Hydrologic data sets are often of short duration and also suffer from missing data values. For estimation and/or extrapolation, the presence of missing data not only affects the choice of a particular method of analysis but also the resulting decisio
Autor:
Umed Singh Panu, T. E. Unny
Publikováno v:
Journal of Hydrology. 46:5-34
Synthetic realizations of monthly streamflows obtained by utilizing a feature synthesis model are tested from statistical and hydrological viewpoints. In terms of statistical considerations the synthetic realizations are shown to possess relevant pro
Autor:
Umed Singh Panu, T. E. Unny
Publikováno v:
Water Resources Research. 16:77-96
The method described in this paper for the synthesis of streamflows differs from the traditional approaches in synthetic hydrology in the sense that it utilizes the information contained in or among the groups of data in a streamflow record. The exis
Publikováno v:
Water Resources Research. 14:335-344
It is reasonable to consider that sequences of hydrologic data corresponding to daily, weekly, or monthly measurements occur in well-defined groups. These groups possess collective properties of the data forming them. Such a collection of properties