Statistical Approaches for Modeling in Microbial Source Tracking

摘要: Microbial source tracking (MST) concerns the definition of new indicators and appropriate detection methods, identification host-specific fecal pollution, ultimately development useful reliable predictive models for practical deployment. Optimal should be designed using proper statistical computational tools analysis available data samples. A further requirement is found in determination sets predictors (indicators, tracers) developing accurate low-cost MST solutions. This chapter briefly reviews some these modeling tools, their use feasibility providing more MST-based results. It also evaluates potential established algorithmic methods to pollution sources.