On Tue, 15 Nov 2016 23:58:31 -0500
Scott Stobbe <[email protected]> wrote:
> Do you recall if you fitted with true ordinary least squares, or fit with a
> recursive/iterative approach in a least squares sense. If the aging curve
> is linearizable, it isn't jumping out at me.
Least square fits to non-linear functions are almost always iterative.
There are only very few functions for which closed formulas are known.
Quite a few people do "linearization", but in general this does not
work well or leads to sub-optimal solutions (aka not an least squares fit)
without people realizing it.
An alternative method that works for some functions are state-space
methods. But I barely know about them, so I cannot really comment on them.
Attila Kinali
--
It is upon moral qualities that a society is ultimately founded. All
the prosperity and technological sophistication in the world is of no
use without that foundation.
-- Miss Matheson, The Diamond Age, Neil Stephenson
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