Evaluating ‘goodness-of-fit’ for linear instrument calibrations through the origin
Thomas Georgian
Abstract
Thomas Georgian
Abstract
Instrument calibrations for environmental analyses frequently entail fitting straight lines forced through the origin, where either the correlation coefficient, Pearson's r, or the percent relative standard deviation, %RSD, for a set of response factors is used to measure the ‘goodness-of-fit’. However, these two approaches do not produce comparable linear calibrations. To do this, a weighted regression line needs to be calculated. A weighted regression coefficient is subsequently defined to evaluate the ‘goodness-of-fit’ and is expressed as function of the %RSD.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Instrument calibrations for environmental analyses frequently entail fitting straight lines forced through the origin, where either the correlation coefficient, Pearson's r, or the percent relative standard deviation, %RSD, for a set of response factors is used to measure the ‘goodness-of-fit’. However, these two approaches do not produce comparable linear calibrations. To do this, a weighted regression line needs to be calculated. A weighted regression coefficient is subsequently defined to evaluate the ‘goodness-of-fit’ and is expressed as function of the %RSD.
Key concepts: Goodness of fit, Linear regression, Correlation coefficient, Standard deviation, Mathematics, Statistics, Coefficient of determination, Measure (data warehouse)