Panel regressions to estimate low-flow response to rainfall variability in ungaged basins: PANEL REGRESSIONS TO ESTIMATE LOW-FLOWS

@inproceedings{Bassiouni2016PanelRT,
  title={Panel regressions to estimate low-flow response to rainfall variability in ungaged basins: PANEL REGRESSIONS TO ESTIMATE LOW-FLOWS},
  author={M. Cherif Bassiouni and Richard M. Vogel and Stacey A. Archfield},
  year={2016}
}
Multicollinearity and omitted-variable bias are major limitations to developing multiple linear regression models to estimate streamflow characteristics in ungaged areas and varying rainfall conditions. Panel regression is used to overcome limitations of traditional regression methods, and obtain reliable model coefficients, in particular to understand the elasticity of streamflow to rainfall. Using annual rainfall and selected basin characteristics at 86 gaged streams in the Hawaiian Islands… CONTINUE READING
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