In general there are two different methods to interpret measured impedance data.
Inverse parameter estimation and asymptotic analysis of solute transport processes were used to interpret measured BTCs.
Although the CO2 absorption rate in ammonia solution is essential for the design of a practical column for the capturing of CO2, debate continues regarding the values as well as proper mechanisms to interpret measured data.
In order to interpret measured emission spectra, we analyze the exciton energy (E_{text {exc}}=E_{mathrm {e}}-E_{mathrm {h}}-J_{text {ij}}^{text {eh}}+K_{text {ij}}^{text {eh}}delta _{text {SO}}), where (in the absence of spin-orbit coupling) δ SO=1 for triplet states, and 0 for singlet states.
In principle I welcome the suggestion of a simple, easy to interpret measure.
The NRI is an intuitive and easy to interpret measure for evaluation of potential added value of new diagnostic instruments in daily clinical practice.
An improvement in diagnostic accuracy when adding a new test is often reported as area under the receiver-operator characteristics curve, which is hard to interpret; the Net Reclassification Improvement NRIis is an attractive and easy to interpret measure for clinicians.
Because of species-specific variation in absorption, distribution, metabolism, and elimination, it is difficult to interpret measured levels of environmental chemicals in humans on the basis of levels of chemicals in laboratory animals.
In multivariate systems or in other distributions, θ can be much smaller than so that γ takes negative values, as illustrated below, so it turns out that θ often provides an easier to interpret measure of association than does γ.
