The value of α that minimizes this value is called the least squares fit. In a sense, this value minimizes the "distance" between the theoretical curve and the data. The formula above is easily generalized to more than one parameter.The root-mean square error (RMSErr) between set of n curve points (Xi, Yi) and a theoretical distribution function f(x) with one parameter α is:The value of α that minimizes this value is called the least squares fit. In a sense, this value minimizes the "distance" between the theoretical curve and the data. The formula above is easily generalized to more than one parameter.
This method is used to calculate the best distribution for both density and cumulative curve data.
