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03-29-2017 06:34 AM

Hi,

I have data which constructs from two normal distributions (know property). And I am trying to find an estimate for the parameters of those distributions. I have been using proc FMM which works greatly if the two distributions are separatable by eye. However problems arise when the two distributions are close to each other. I understand that this might be a problem, but is there a way to force FMM to assume that when there is only one distribution to the eye, then it would try to find the distribution that should be mulitplied by 2 to get the distribution the data suggests? I have attached two output graphs which are from the FMM with k=1 and k=2 respectively. For some reason the K=2 finds a nonexisting distribution with mean of 5.73 and variance of 0??? I am using SAS 9.4

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03-31-2017
03:46 AM

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03-29-2017 03:16 PM

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Solution

03-31-2017
03:46 AM

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03-29-2017 03:16 PM

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03-31-2017 03:47 AM

Thank you for the answer. Indeed this method is possible but it was not that straight forward in my case. Got to say FMM is a great proc.