S2E25: Options for Small Samples
Quantitude
Is Maximum Probability Better Than Minimum Probability?
I'm a huge fan of least squares, two stage l squares and generalized lee squares. All these things are promising but restrictive maxim likelihood counterparts don't exist within the s c m. What would you do with a student colleague who has a small n and a structural equation model that still wants to use that for their particular application? Right?
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