Which is the relationship between lod, loq and rmse?
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The relationship between LOD (limit of detection), LOQ (limit of quantification), and RMSE (root mean square error) is not explicitly mentioned in the abstracts provided. However, LOD and LOQ are both parameters used to assess the sensitivity of analytical methods, while RMSE is a measure of the accuracy of a model or prediction. LOD represents the smallest concentration of an analyte that can be reliably detected, while LOQ is the lowest concentration that can be quantitatively measured with acceptable accuracy and precision. RMSE, on the other hand, measures the average difference between the predicted and observed values. While there may be some relationship between LOD, LOQ, and RMSE in the context of analytical methods, further research or information would be needed to determine the specific relationship between these parameters.
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01 Feb 2023 | The provided paper does not mention the relationship between LOD, LOQ, and RMSE. The paper is about the investigation of microplastic particle counts in surface waters of the Rhine River. |
Open access•Journal Article | The provided paper does not mention the relationship between LOD, LOQ, and RMSE. |
01 Mar 2021 2 Citations | The relationship between LOD, LOQ, and RMSE is not mentioned in the provided paper. The paper is about determining the LOD and LOQ in steel alloys analysis using the NITON spectrometer. |
Open access•Posted Content 01 Jan 2018 8 Citations | The provided paper does not mention the relationship between LOD, LOQ, and RMSE. |
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