Applying Stationary and Nonstationary Generalized Extreme Value Distributions in Modeling Annual Extreme Temperature Patterns
This study applies both stationary and nonstationary generalized extreme value (GEV) models to analyze annual extreme temperature patterns in four stations of Southern Highlands region of Tanzania: Iringa, Mbeya, Rukwa, and Ruvuma over a 30-year period. Parameter estimates reveal varied distribution...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2024/9652134 |
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