Frequentist and Bayesian Approaches in Modeling and Prediction of Extreme Rainfall Series: A Case Study from Southern Highlands Region of Tanzania
This study focuses on modeling and predicting extreme rainfall based on data from the Southern Highlands region, the critical for rain-fed agriculture in Tanzania. Analyzing 31 years of annual maximum rainfall data spanning from 1990 to 2020, the Generalized Extreme Value (GEV) model proved to be th...
Saved in:
Main Authors: | Erick A. Kyojo, Silas S. Mirau, Sarah E. Osima, Verdiana G. Masanja |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2024/8533930 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Applying Stationary and Nonstationary Generalized Extreme Value Distributions in Modeling Annual Extreme Temperature Patterns
by: Erick A. Kyojo, et al.
Published: (2024-01-01) -
Bayesian prediction of under-five mortality rates for Tanzania
by: Mohamed K. Mwanga, et al.
Published: (2025-03-01) -
Comparison of the Frequentist MATA Confidence Interval with Bayesian Model-Averaged Confidence Intervals
by: Daniel Turek
Published: (2015-01-01) -
A comparison of Bayesian and frequentist confidence intervals in the presence of a late Universe degeneracy
by: Eoin Ó. Colgáin, et al.
Published: (2025-02-01) -
Extensive Inactive Neurocysticercosis: A Case Report in Mbeya, Southern Highlands of Tanzania
by: Makasi CE, et al.
Published: (2025-01-01)