Research can show
how the statistical approach affects the likelihood that programs are identified for some kind of action, which creates tradeoffs; some programs will be rightly identified while others will not.
Not exact matches
To find out
how average monthly temperatures had changed from 1847 to 2013, the researchers used an advanced
statistical time series
approach to figure out what changes in temperature were due to natural variability and what changes represented a long - term trend.
«Our study shows
how application of interdisciplinary
statistical approaches, coupled with informed models of collective motion can help extract useful biological information about social interactions in schools of fish.
Professor Siddiqui, Professor of Airway Diseases at the University of Leicester and Consultant Respiratory Physician at Leicester's Hospitals, added: «Further research is now underway to understand
how to use these
statistical approaches to combine complex information in asthma patients and make personalised treatment decisions.»
Our framework links innovative
approaches for (1) generating high - resolution, probabilistic projection of future climate and sea - level changes and (2) empirically identifying robust
statistical relationships characterizing
how humans have responded to past climate variability and past climate change, in order to (3) project
how humans may respond to uncertain future changes.
The most sophisticated
approach uses a
statistical technique known as a value - added model, which attempts to filter out sources of bias in the test - score growth so as to arrive at an estimate of
how much each teacher contributed to student learning.
How are results are skewed due to a trend in the use of certain
statistical approaches?
To begin I recommend this: http://socrates.berkeley.edu/~phylabs/adv/ReprintsPDF/NLD%20Reprints/17%20-%20Egodic%20Theory.pdf Sure, this paper is strongly temporal chaos oriented so its relevance for spatio - temporal chaos is limited but it gives the right paradigm
how to
approach problems of
statistical predictability.
There IS a heat source and a physical reality, that requires no forcing to give it super powers as with puny CO2 the palnts gobble up as much as they can get of, in fact.And explains the stable ice age and the Milankovitch linked interglacials, and
how that sawtooth between repeated and predicatble limits can be driven using known energy sources, specific heats and masses, plus simple deterministic physics, no
statistical models or Piltdown Mann data set
approaches.
If that summary is correct, I would think, that to continue these analyses in a meaningful way and assuming that the details of the more recent RCS algorithms will not be forthcoming, why not use a consensus (amongst our
statistical minded participants here) best
approach growth algorithm and see what kind of Yamal series results and
how well it performs through sensitivity testing.
We spend a lot of time talking about defensibility and
how the combination of the right workflows and our
statistical approach ensures that valid statements can be made regarding the performance of the technology.