The objective of the workshop was to enable participants to understand and
interpret modelling results (e.g. in the literature), not to become modellers themselves.
It's in the interpretation, rgb
interpreted the model results in his own peculiar way, and then proceeded to say why he was wrong in that interpretation.
Not exact matches
«The original work with my
model focused on reproducing,
modeling, and
interpreting results from existing experiments,» he said.
So being able to create and refine a computational fluid dynamics
model — and
interpret the
results — has become very important to NASCAR teams.
At the Vienna University of Technology, theoretical
models and large - scale computer simulations have been developed, in order to analyse and
interpret the
results.
Advanced theory and
modeling methods are used to
model and
interpret the
results.
This relatively new and still emerging way of seeing depends on taking MRI measurements with conventional millimeter - scale resolution, and developing theoretical
models to
interpret the
resulting data in terms of changes occurring at the scale of microns.
This
result has implications for
interpreting disease phenotypes in animal
models and humans.
Since the proposed
model may be used in further studies and the
results of the study could be
interpreted by people who are not familiar with the peculiarity of nicotine / cotinine pharmacokinetics in mice, we attempted to estimate the level of nicotine (and e-liquid vapor) exposure used in the discussed study.
Through
modeling, high school students identify variables in a situation, select an algebraic, geometric, statistical, or other mathematical way of solving the problem, perform operations on the variables, and
interpret the
results.
It may have achieved good
results in the past through overfitting the
model, which would
interpret some of the noise of the past as a signal to return to the earlier analogy.
The
results from the shuffled and the transformed data sets were
interpreted as undermining the major gene theory for elbow dysplasia, although the mixed inheritance
models provided a clearly better fit to the data than did the polygenic
models for both HD and ED.
We discuss climate
models a lot, and from the comments here and in other forums it's clear that there remains a great deal of confusion about what climate
models do and how their
results should be
interpreted.
I think that is a little harsh, and we should not underestimate the importance of consistency in forecasting the general trends, nor the context it brings to how we
interpret and present our present
model results.
Throw in a collection of
model results that are hard to
interpret, and it is quite reasonable to understand why people (on both sides) are confused.
That's pretty much what the cp.net folks did, only instead of
interpreting their
results as casting doubt on the
models» predictive capabilites, they
interpreted their
results as cause for greater alarm about global warming.
They haven't reached the point of development when we are sure that they are doing everything right for the right reasons, and so my instinct is to be very cautious in
interpreting ocean
model results that rely on shifts in the location of deep water production etc..
However, this does not mean prima facie that climate
models are not useful; this is more about how we should design climate
model experiments and
interpret the
results.
This is a very important topic indeed, and I hope that this discussion will not only lead to better mutual understanding but also indeed to a better insight in the way in which
model results should be
interpreted.
Steve, I agree that we need to do a better job of challenging the
models with data and
interpreting the
results.
While it's one thing, he says, to employ ecological
models to generate hypothesis for further testing, it's another matter entirely to present the
results of these
modeling exercises as predictions that policy makers and the public then
interpret as forecasts.
As a
result, the Cess climate sensitivity parameter should not be
interpreted at its face value for estimates of
model equilibrium climate sensitivity.
«If users believe the [GCM]
models were never designed to meet this [spatial trend variation] standard, then our
results will not be surprising, and could be
interpreted merely as confirmation that this is not something that should be expected of climate
models.
This should not be
interpreted as a problem with the
model and the analysis but rather a
result of poor replication in the tree series.
But understanding
models and their working is essential to
interpreting results and their limitations.
We
interpret the
resulting reconstructions in the context of
results from climate
model simulations forced by estimated past changes in natural (solar and volcanic) radiative forcing.
Given my
results, and the
model through which I have
interpreted them, it is completely valid to expect an «increased risk» of a double 6, even though I have not yet seen a trend.
To help
interpret the
results, Spencer uses a simple
model.
Interpreting the
results of
modeling has been problematic.
This Measure Guideline describes how to
model and
interpret results of
models for above grade walls.
If a
model is approximate and has difficulties (like GCM's), or the
results are difficult to
interpret, that is reflected in the narratives and figures contained in the Validation document.
Age, sex, and ancestral proportion scores were entered in all of the
models as covariates and were retained in the
models regardless of their significance given the relevance of these potential confounding variables in
interpreting the study
results.
The grounded theory approach involves systematic review of qualitative data to allow novel ideas and theories to emerge from the observations rather than imposing existing theory or conceptual
models to arrive at, or
interpret,
results.
Behaviour change is widely acknowledged to be difficult to achieve by those working in health promotion, and
models of behaviour change developed to describe and support changes in health related lifestyles (smoking cessation, exercise participation) may be helpful in
interpreting the
results of this trial.38, 39 In particular, positive change followed by relapse is not uncommon.
Our multi-level
modelling used maximum likelihood estimation, allowing for
results to be
interpreted as if there were no missing data, under the assumption that data were missing at random (Allison 2002; Raudenbush and Bryk 2002; Schafer and Graham 2002).
The
resulting scores of the tri-dimensional
model can be
interpreted as psychomotor agitation, psychic anxiety, and depression in individual patient data or clinical investigations.
The here presented
results can thus be
interpreted in terms of the rumination arousal
model [136].