At the fundamental publishing level I see a lack of or maybe even an avoidance of doing the required sensitivity testing that can give
a better measure of the uncertainty involved.
With nonstationary statistics the standard error of the fit over past years is not
a good measure of the uncertainty in the prediction.
Not exact matches
We also welcome
measures to reduce
uncertainty to business at a time
of fragile economic recovery — so a move to only call for a referendum if certain and
well understood conditions are not met is helpful.
Equally striking, if less
well known, are the so - called squeezed quantum states: Normally, Heisenberg's
uncertainty principle means that one can not
measure the values
of certain pairs
of physical quantities, such as the position and velocity
of a quantum particle, with arbitrary precision.
A separate experiment
measuring the atoms in a silicon sphere has calculated Planck's constant down to an
uncertainty of 20 parts per billion, while the
best watt measurement has achieved an
uncertainty of just 19 parts per billion.
«We've done the world's
best job
of decreasing the
uncertainty in the
measured rate
of universal expansion and
of accurately assessing the size
of this
uncertainty,» said Filippenko, «yet we find that our
measured rate
of expansion is probably incompatible with the rate expected from observations
of the young universe, suggesting that there's something important missing in our physical understanding
of the universe.»
Fewer studies share effect sizes (which arguably gives a
better indication
of how meaningful a result might be) or discuss
measures of uncertainty.
We also use state -
of - the - art quality checking and
measuring techniques to ensure that the clients get
best options when they queue up with us to buy dissertations online without any trace
of uncertainty.
[Response: Dropping outliers just because they don't agree with your preconceived ideas is a classical error in statistics — it's much
better to use the spread as a
measure of the
uncertainty.
Gavin, You wrote: - «Dropping outliers just because they don't agree with your preconceived ideas is a classical error in statistics — it's much
better to use the spread as a
measure of the
uncertainty.
The skin temperature can be
measured with absolute
uncertainties of much less than 0.1 ºK The thermometer in the surface following float is accurate to
better than 0.01 ºK.
Far
better this than running a dozen GCMs with funamentally different assumptions about climate feedbacks, plotting them on a graph and claiming that as a
measure of the
uncertainty in the behaviour
of the real climate.
Better description
of uncertainty would certainly help, both observationally (the Schmidt 2015 hottest evah fiasco is a specific example), and concerning models (the Christy chart
of the actual tropical troposphere as
measured by ballons and satellites versus CMIP5 is an example).
Regarding land use run 1, Gavin at Real Climate says: «Dropping outliers just because they don't agree with your preconceived ideas is a classical error in statistics — it's much
better to use the spread as a
measure of the
uncertainty»
Perhaps all
measures would be
better put on hold for an iteration and an agreed programme
of uncertainty reduction taken as a matter
of urgency.
The data set also depends on the correct assessment
of two other aspects
of sea level rise and hence is an indirect
measure... [It] is a
good approach, but with high
uncertainties at present.
The challenges are finding a
good enough
measure of urbanity, dealing with
uncertainty in station locations (a problem in many areas outside the U.S., where lat / lon coordinates aren't always accurate), and ensuring that your method doesn't suffer from spatial coverage biases between urban and rural sets (I tend to prefer station pair comparison methods for that reason).
Call me cynical if you like, but if Judith had wanted to create a
measure of uncertainty and doubt in the popular mind about the
BEST findings, then allowing the Daily Mail to do their worst with her comments would be a neat and deniable way
of doing it, don't you think?
It is
good, as SteveM notes in this thread, that scientists have taken another look at the SST
uncertainties and biases, but reading from the article (see comment in quotes below) one still comes away with a sense that we have no final hard and fast objective
measure of the
uncertainties in the temperature measurements.
Here Ravetz might have confused the sensitivity for CO2 doubling per se which is
well established at ~ 1C, with the more usual
measure of climate sensitivity taking into account all feedbacks, which is necessarily a more uncertain enterprise, but usually considered to be around 3C, albeit with much broader
uncertainty.
Using an ensemble
of eight models calibrated only for phenology or five models calibrated in detail resulted in the
uncertainty equivalent to that
of the
measured yield in
well - controlled agronomic field experiments.
Independent agents will help take the fear and
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best coverage possible for your needs.