Heteroskedasticity
It's a term from statistics that basically means there's something wrong with your assumptions.
To be precise, it means a sample may vary from the norm in self-selected ways not taken in to account by your model… and that’s bad. In statistics, you might assume the error term has a constant variance…This will be true if the observations of the error term are assumed to be drawn from identical distributions. Heteroskedasticity is a violation of this assumption.
Like I said, it means there's something wrong with your assumptions.
Heteroskedasticity - fun to say, and it means something interesting.
Eclectic antics & observations on design, writing and demolishing the status quo
1 comment:
Brian Romano pointed out that if the assumptions are VERY wrong, it might be hideo-skedastic...
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