Not exact matches
By asking this question, the researchers could compare participants»
predictions about how many ideas they would generate
with the actual number of ideas they ended up generating during the second
interval.
With the caveats in mind then, here are the predictions my model generates (with 99 % confidence interva
With the caveats in mind then, here are the
predictions my model generates (
with 99 % confidence interva
with 99 % confidence
intervals):
I hope this exercise can be repeated annually or at 5 year
intervals, and include the
predictions from other models for comparison (one other is presented above), such as Latif et al's model and Tsonis et al's model, along
with the simple linear plus sinusoid.
These results are driven by best - in - class analytics coupled
with our proprietary, hyper - local and energy - specific weather service (Nostradamus), that delivers 10 - minute
interval weather
predictions up to 96 hours in advance at each solar park location and each wind turbine location and hub height.
The issue is the calibration of the
prediction intervals — what percentage of observations fall
with a specified probability limit: the point forecast itself carries limited information.
The Forecasting Problem To determine the best policies to implement now to deal
with the social or physical environment of the future, a policy maker should obtain forecasts and
prediction intervals for each of the following: 1.
You would not compare that measurement
with the mean height of Dutch people or even the confidence
interval on that mean (which gets vanishingly narrow
with a large sample size), you would compare it
with the overall spread of the height distribution in that country: the
prediction interval.
So, the proper comparison is not the observed trend
with the mean, it is
with the range of trajectories produced by the model ensemble — that
prediction interval is what the scatter of squiggles in fig. 2 shows.
If it is within the
prediction interval, you can conclude that the person's height is not inconsistent
with their being Dutch.
Yet, I'd like to see alternative
prediction with CO2 included (including
prediction interval!).
Assuming no autocorrelation for RSS (based on the DW test
with GISS data), I regressed the annual temperature anomalies for the period 1979 - 2007 and determined the
prediction intervals for individual years shown in the graph below.
Just because the data you may choose to rely on allows you to make a
prediction as to the likelihood of a safe arrival that is statistically significant
with a confidence
interval of 95 %, that does not mean you have a 95 % chance of arriving safetly.
This is the one I think looks like yours: http://img710.imageshack.us/i/compareb.png/ This is
with increased
prediction interval to take care for autocorrelation, might be too simplified though: