- Use starting estimate for shape
- If you have starting estimates for the shape of the distribution model, enter one column to apply to all the response variables, or enter a separate column for each response variable. If you provide fewer starting estimates than there are response columns, the last shape value listed is used for the remaining variables.
- The maximum likelihood solution may not converge if the starting estimates are not in the neighborhood of the true solution. If the algorithm does not converge to a solution, you can specify what you think are good starting values.
- Maximum number of iterations
- Enter a positive integer to specify the maximum number of iterations for the maximum likelihood method. The default is 20. Minitab uses the modified Newton-Raphson algorithm, a recursive method, to calculate the maximum likelihood estimates. If Minitab reaches the maximum number of iterations before convergence, the command terminates.