And in
empirical tests done by Microsoft, it did converge faster than a more Elo - like system that didn't use the probability stuff.
Not exact matches
No, I have
done many
empirical tests of the possibility that I am «under god» and all of them failed totally.
This sort of
empirical testing is very tricky indeed, which undoubtedly explains why so little work has been
done in just this area.
«Theology of prayer»
does not change anything — ’ t is a matter of how you set up the experiment to
test an
empirical question.
Not only
does this provide us with more
empirical data, but focusing on a «hard» case tends to be more fruitful when formulating and
testing theories.
Anyone who has the impulse to check whether the paint is wet has exactly the right kind of instincts for
doing science: a ready curiosity, a desire to gather
empirical evidence, a willingness to get dirty in order to put a theory to the
test.
Don't be afraid to
test the software opportunities and marketing strategies, analyze the results of your attempts and make your own conclusions, based on
empirical experience.
What we don't have, though, is a strong,
empirical, persuasive case to ditch
test - based accountability, either writ large or within school choice programs.
Existing
empirical evidence, however,
does not find a strong role for measured characteristics of teachers — such as teacher experience, education, and
test scores of teachers — in the determination of academic achievement of students.
The
empirical evidence simply
does not support the use of one - size - fits - all curriculum standards and high stakes
testing as effective...
The
empirical evidence simply
does not support the use of one - size - fits - all curriculum standards and high stakes
testing as effective tools to improve the education and life outcomes of over 56 million public school students in the third most populous country on the planet.
Empirical studies of the relationship between school inputs and
test scores typically
do not account for household responses to changes in school inputs.
☻ An electrical model (although it isn't a model but an
empirical test - rig) has been built to show how feedback
does not require «forcing» but happens with the un-forced parameters alone.
Strawman, quote my words not what you imagine, I
do not assume that — I repeat: From the way you have mangled my post in your replies I'm coming to the reluctant conclusion that you're either incapable of thinking to the standard required in science which is the ability to separate fact from fiction in the discipline of
empirical observation and
testing, or, you're deliberately distracting from the points I'm making in my argument.
Fifth, even if real scientific investigation (which doesn't stop with modeling but
tests models by
empirical observation) could tell us that, say, falling 50 % short of net zero «carbon» emissions would raise GAT by, say, 3 ° C and that that, in turn, would cause significant harms, that wouldn't tell us how we ought to respond.
So while I expect that climate scientists will argue against «
empirical AR1» coefficients as too severe a pseudoproxy
test, I, for one,
do not think that «
empirical AR1» coefficients are too severe a
test — if anything, they are probably not severe enough.
An examination of the
empirical literature
did not support this belief: Econometric forecasts were not shown to be significantly better in any of the 14 ex post and 16 ex ante
tests.
So I really
do not see why those like Pekka Pirilä or Vaughan Pratt are so opposed to simply
TESTING the hypothesis, to see if it is falsified or corroborated by
empirical evidence.
I'd say the thing to
do now is to
test your hypothesis — first with climate models, as Judith has suggested, and (more importantly) with
empirical data that either falsify or validate it.
In science, when a hypothesis is advanced and
tested using
empirical evidence, and the results of the
testing do not support the hypothesis, the hypothesis is then discarded.
Later Angstrom
did some
empirical lab
tests which seemed to indicate Arrhenius was wrong.
In they days before» post normal science» when hypothesese were falsified or not with real
empirical data it was expected that if one wanted to determine a change in some factor — for example response in corn yields to different rates of types of fertilsier the
test was
done on the same soil type in the same years.
And if one of your Briffa or Mann collaborations shows where they've
done empirical field
tests, please point me at it.
To date, however, the related literature in Canada is slim and, to the extent it exists,
does not deploy the
empirical methods necessary to
test independently for the influence of interveners on the decisions of individual judges.