Our framework nevertheless presents some difficulties, mainly due to having to use non-trivial regression modelling.
Some in the media seem put out by the forecasters' success, as it devalues their own analysis, full as it is of exciting but often trivial narrative, not dull regression analysis.
Comparing estimates using the Mixed Effects Structural Equation (MESE) approach and one using PVs, there are small but non-trivial differences in the estimated regression coefficients for the Black–White gap and for cognitive skills.
Although regression analyses indicate that virtual presence positively influences trivial- and non-trivial learning outcomes, learners who learned in a low-immersive environment outperformed the gaming group.
Tobit regression was used to account for the non-trivial proportion of the study population with maximum EQ-5D VAS scores or EQ-5D utility scores [ 20, 21].
This is illustrated using two existing non-trivial results: the determinacy of knowledge theorem of Reiter and the regression theorem, which reduces reasoning about the future to reasoning about the initial situation.
As deriving probabilities from the Cox model is not trivial, involving estimation of the baseline hazard, an alternative is the Weibull parametric regression model which easily allows estimation of probability of outcome over any time period.
This is a non-trivial spread in risk across deciles and is evaluated by the Poisson regression to assess trend in difference between O and E over deciles of risk.
However, emphasis is placed on a less trivial yet simple strategy such as the use of design of experiments to fit a regression model.
Therefore, we consider trivial facts like the magnitude of the enhancement as well as more sophisticated methods like the Fourier transform or regression methods.
To get rid of trivial anthropometric measurements and improve the performance of the HRTF estimation, Hu et al. used partial least squares regression (PLSR) to model the linear relation [24].
