"I think the way Cherry Hill is trying to handle it, but raising test scores and finding educational, rather than statistical, solutions is the right one.
The statistical solutions are implemented to decide which one of them is most suitable for adsorption studies.
Statistical solutions are typically rigorous and well-motivated but do not scale well to massive datasets, whereas machine learning solutions typically lack statistical rigor and fail to account for the nuances of the scientific problem at hand.
Unfortunately, quota designs in complex survey studies including many factors and different numbers of factor levels are computationally demanding and reliable statistical solutions are not available.
Note that ISO impose high monitoring requirements [36] for ancillary services, and consequently, a statistical solution could be necessary to avoid the use of high performance meters in the entire customer group (i.e. to achieve cost-effectiveness for these customers) [37].
A statistical solution suggested by Dee [41] is to include state fixed-effects in a panel data model (i.e., a binary variable for each state or local area), which captures relatively stable, but unobserved, cross-state differences potentially affecting drinking patterns and behaviors.
We offer a statistical solution to left truncation that can be easily applied in widely used statistical programs.
As a full statistical mechanics solution is not yet available, after a streamlined introduction to the state of the art via that route, the problem is consistently approached through signal-to-noise technique and extensive numerical simulations.
A different solution was needed.
Ultimately a solution was found.
By reformulating the problem in statistical learning terms, a solution is proposed herewith: rather than identifying airborne particles from their scattering patterns, TAOS patterns themselves are classified through a learning machine, where feature extraction interacts with multivariate statistical analysis.
