What is the confidence interval for Surface Xplorer kinetic fits?

‘Confidence interval’ is a regular mathematical conception in the theory of experimental data analysis. It is a factor that shows both: fit quality and model sensitivity to a given parameter.

For example, if we have a set of points (xi, yi) and try to fit these data with a model F(a, b, c, x), we can find parameters a,b,c with intervals. If F doesn’t significantly change with changing of ‘a’ then ‘a’ will have a big confidence interval. In other words: a confidence interval of 2 for t1 = 10 means that t1 belongs to (10 +/- 2) interval.

Confidence intervals are always calculated with some probability. In SX we use the probability of 90%.

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