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# What DOes convergence criteria satisfied meaning in Pro Logistic output.

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01-12-2018 01:02 PM

Accepted Solutions

Solution

01-18-2018
10:51 AM

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Posted in reply to ankur_1989

01-12-2018 01:20 PM

Unlike ordinary least-squares regression, which is a direct method, many regression procedures have to solve nonlinear optimization problems in order to find the parameters in the model that best fit the data. The procedure starts with an initial estimate of the parameters and then iteratively refines that estimate until "convergence," which means that the parameters are optimal and further iteration will not improve the parameter estimates.

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Solution

01-18-2018
10:51 AM

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Posted in reply to ankur_1989

01-12-2018 01:20 PM

Unlike ordinary least-squares regression, which is a direct method, many regression procedures have to solve nonlinear optimization problems in order to find the parameters in the model that best fit the data. The procedure starts with an initial estimate of the parameters and then iteratively refines that estimate until "convergence," which means that the parameters are optimal and further iteration will not improve the parameter estimates.

.

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Posted in reply to ankur_1989

01-12-2018 01:21 PM

It means the solution found is possibly not the solution, but the algorithm couldn't continue further.

It could also mean you have too many model terms in your model, and removing some may allow the algorithm to find the solution.

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Paige Miller

Paige Miller