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<math>\lambda_{(p)}, \lambda_{(s)}, \sigma_0, \sigma_1, g, x_0 \quad</math> are the fit parameters. Not the absence of a vertical scale parameter. The vertical scale depends on the number of samples collected, whereas the equation in this model is normalized.  Rescaling works as follows:

 

<math>\lambda_{(p)}, \lambda_{(s)}, \sigma_0, \sigma_1, g, x_0 \quad</math> are the fit parameters. Note the absence of a vertical scale parameter. The vertical scale depends on the number of samples collected, whereas the equation in this model is normalized.  Rescaling works as follows:

If <math>f(x)=T*f(q)</math>, where <math>T</math> is a vertical scaling parameter and since <math>dq=dx/g</math>,  

If <math>f(x)=T*f(q)</math>, where <math>T</math> is a vertical scaling parameter and since <math>dq=dx/g</math>,