Convergence Pattern of the Scoring Method in Estimating Parameters of a Log-Normal Function

Abstract The iterative procedure usually adopted to solve the ML equations of a log-normal model with three parameters often fails to reach convergence because the initial values needed to start the iterative process are not properly positioned with respect to the final ML estimates of the parameters. This article suggests a method to find initial values that, at least in the author's experience, always give convergence.