Contrast these numbers with the initial guesses of 0.45 and 0.01, respectively, for the two parameters. Using the new estimates given in (9), you can start the iterative procedure once more and go on iterating until there is "convergence" in the sense that the final round of the estimates does not differ much from the round before that. Of course, you will require fewer iterations if your initial guess is closer to the final values. Also, notice that we have used only the linear term in Taylor's series expansion. If you were to use the quadratic or higher-order terms in the expansion, perhaps you would reach the final values much quicker. But in many applications the linear approximation has proved to be quite good.
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