Relative Standard Error: A Statistical Approach to Validating a Calibration Curve
Data Quality
Oral Presentation
Prepared by
Contact Information: austin@flowinjection.com; 206-258-2290
ABSTRACT
The coefficient of determination (R2) has been the industry standard in validating a calibration curve for flow injection analysis. However, a push for more stringent regulations of environmental nutrients and contaminants have led to a reevaluation of validating a calibration curve. This presentation will compare and contrast R2 with a new metric, relative standard error (RSE), as methods for validating environmental measurements. Both practical examples and idealizations are posed to illustrate the benefits and potential pitfalls of each technique.
Data Quality
Oral Presentation
Prepared by
Contact Information: austin@flowinjection.com; 206-258-2290
ABSTRACT
The coefficient of determination (R2) has been the industry standard in validating a calibration curve for flow injection analysis. However, a push for more stringent regulations of environmental nutrients and contaminants have led to a reevaluation of validating a calibration curve. This presentation will compare and contrast R2 with a new metric, relative standard error (RSE), as methods for validating environmental measurements. Both practical examples and idealizations are posed to illustrate the benefits and potential pitfalls of each technique.
