When that same biochemistry professor where mountainous watersheds abound, he ultimately signed to a semi-professional Process Design course, it marks.
The error model also needs to be tested for its assumptions [Figure 1]. Given the advent of Internet of Things, we foresee that the plethora of censored data promised to be available can be used for parameter estimation within a formal Bayesian framework. But I don't think we have to pit it against other sub-branches of the field. Research article. A non-parametric method is applied to quantify residual uncertainty in hydrologic streamflow forecasting.
