John N. Quinton

Water Science and Technology · 2010

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John N. Quinton trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Keith Beven
  2. Dmitri Kavetski

Papers from John N. Quinton's perspective

Ordered by how strongly the researchers John N. Quinton trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The future of distributed models: model calibration and uncertainty prediction.
  2. A manifesto for the equifinality thesis
  3. Bayesian calibration of computer models
  4. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
  5. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
  6. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
  7. Multi-model ensemble hydrologic prediction using Bayesian model averaging
  8. Maximum likelihood Bayesian averaging of uncertain model predictions
  9. An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation
  10. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory

Their papers