Not exact matches
Different types of rennet [yes, they're also
produced in multiple ways, and carry traces of chemicals etc] can be aggravating, so choosing a rennet is really a matter of trial and
error, but a friend who always got super sick when eating parmesan [standard for all pastas, creamed potatoes etc] has gone for organic parmesan and introducing it 1 - 2 grated bits at a time, and very slowly, is now up to a
small chunk.
Given the extensive controls used in value - added models, it is possible that even if confounding occurs, for many teachers it could lead to
errors smaller than those
produced by other means of teacher evaluation.
Very
small sample size that
produced not statistically significant results (sample
error) 2.
Total Market Indexes, which also are often sampled,
produce very
small sampling
errors.
Indeed, since there are many feedbacks in the system, a
small error somewhere can
produce large effects somewhere else.
If the procdure
produces very
small calculated
errors (ie
smaller than the input data) then it must be suspect on thos grounds alone..
This is similar to the
error they make when they claim that greenhouse gases can
produce temperature increases 3 - 5 times that of the direct radiative effects of doubling CO2 (through the action of non-linear feedbacks), but deny that
small changes in insolation can
produce effects that are much larger than can predicted from the original forcing.
The procedure used by the BEST team
produces estimates that have the
smallest attainable mean square
error.
The Bayesian hierarchical model procedure
produces the estimates that have the
smallest aggregate mean square
error.