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A function of the empirical characteristic function,exists for the stabledistribution, which leads to a linear regression and can be used to estimatethe parameters. Two approaches are often used, one to find optimal values of t,but these points are dependent on the unknown parameters. And using a fixednumber of values for t. In this work the results when all points in an intervalis used, thus where least squares using an infinite number of observations,isapproximated. It was found that this procedure performs good in small samples.

Regression with an infinite number of observations applied to estimating  the parameters of the stable distribution using the empirical characteristic  function