Improving the robustness of fisheries stock assessment models to outliers in input data
Sign Up to like & getrecommendations! Published in 2020 at "Fisheries Research"
DOI: 10.1016/j.fishres.2020.105641
Abstract: Abstract Outliers caused by atypical observation error often occur in fishery data. These outliers have an adverse effect on the parameter estimation for fishery stock assessment models. We tested a robust distribution for identifying and… read more here.
Keywords: assessment models; improving robustness; stock assessment; fishery ... See more keywords
Ratiometric Electrochemistry: Improving the Robustness, Reproducibility and Reliability of Biosensors
Sign Up to like & getrecommendations! Published in 2021 at "Molecules"
DOI: 10.3390/molecules26082130
Abstract: Electrochemical biosensors are an increasingly attractive option for the development of a novel analyte detection method, especially when integration within a point-of-use device is the overall objective. In this context, accuracy and sensitivity are not… read more here.
Keywords: ratiometric electrochemistry; electrochemistry improving; improving robustness; robustness reproducibility ... See more keywords