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Assessing the Ability of the Variable Length Block Bootstrapping Model for the Generation of Multiple Stochastic Hydrometric Data Types.

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Title: Assessing the Ability of the Variable Length Block Bootstrapping Model for the Generation of Multiple Stochastic Hydrometric Data Types.
Authors: Makungo, Rachel1 (AUTHOR) rachel.makungo@univen.ac.za, Ndiritu, John2 (AUTHOR)
Source: Water (20734441). May2026, Vol. 18 Issue 9, p1023. 14p.
Database: Environment Complete
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PubType: Academic Journal
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  Data: Assessing the Ability of the Variable Length Block Bootstrapping Model for the Generation of Multiple Stochastic Hydrometric Data Types.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. May2026, Vol. 18 Issue 9, p1023. 14p.
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        Value: 10.3390/w18091023
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1023
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      – TitleFull: Assessing the Ability of the Variable Length Block Bootstrapping Model for the Generation of Multiple Stochastic Hydrometric Data Types.
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            NameFull: Makungo, Rachel
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              Text: May2026
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              Y: 2026
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