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BNB model beta estimates and credible intervals on data:

Levi Orero ; Evans Otieno Omondi ; Bernard Oguna Omolo
https://figshare.com/articles/dataset/BNB_model_beta_estimates_and_credible_intervals_on_data_/25065545. , 2024

Link: https://doi.org/10.1371/journal.pone.0291800.t004

RT Journal
T1 <Title>BNB model beta estimates and credible intervals on data</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25065545&Exemplar=1&LAN=DE
				
A1 Levi Orero
A1 Evans Otieno Omondi
A1 Bernard Oguna Omolo
YR 2024
K1 Ecology
K1 Sociology
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 62 %) compared
K1 simulation results demonstrate
K1 showcasing lower rmse
K1 integrating climatic factors
K1 fire control strategies
K1 employing bayesian approaches
K1 leveraging past data
K1 enhance model performance
K1 rainfall values derived
K1 precise prediction intervals
K1 fire count data
K1 bnb model outperforms
K1 kenya </ p
K1 climatic data
K1 bayesian model
K1 simulation studies
K1 rmse )
K1 historical fire
K1 fire regime
K1 world data
K1 statistical model
K1 model reveals
K1 xlink ">
K1 worldclim database
K1 work introduces
K1 vegetation fires
K1 testing datasets
K1 test dataset
K1 term trends
K1 study presents
K1 study contributes
K1 seasonal patterns
K1 predictive significance
K1 monthly fires
K1 maximum temperature
K1 findings underscore
K1 files sourced
K1 comprehensive analysis
K1 closely align
K1 actual predictions
K1 2018 )
K1 15 )
JF https://figshare.com/articles/dataset/BNB_model_beta_estimates_and_credible_intervals_on_data_/25065545
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0291800.t004
DO https://doi.org/10.1371/journal.pone.0291800.t004
SF ELIB - SuUB Bremen

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