The correlation of AGB and the LiDAR example predictor in Gorkha is 0.66 for sample ProfGo, 0.59 for CommGo, and in Chitwan it is 0.52 for ProfCh and 0.45 for CommCh.
It is worth to note that some other methods are also appropriate for solution of such kind of problem, for example predictor-corrector method [19], Podlubny's matrix approach [21, 22], quadrature formula approach [23], multistep method [24], and frequency (Oustaloup's) method [6], but it has some restrictions, especially for the fractional nonlinear models [25].
However, our approach and the choice of genes used in the present study are more appropriate for investigating the modulation of inflammation and fibrosis between different samples of diseased liver, and could also be applied to verify the modulation of these genes following a period of treatment (for example, predictor of antifibrotic and anti-inflammatory response).
Examples (Predictors) "We selected six SNPs from six loci on the basis of their association with levels of LDL or HDL cholesterol in at least one previous study.
As an example, the predictors that were significantly associated with the outcome 'communication' were three factors of job satisfaction: 'freedom of working method' (β = 0.127), 'colleagues and fellow workers' (β = 0.397) and 'recognition for work' (β = 0.211).
However, both approaches have serious drawbacks—for example, the predictor selection process may not be stable (small changes in the data or in the predictor selection process could lead to different predictors being included in the final model).
For example, using predictor A, around 75% of the correct matches are found within the 4 highest ranked hits.
For example, using predictor A, around 75% of the predicted peaks fall within 0.15 ppm of the observed peaks.
For example, as predictor of PCB bioaccumulation into worms, CPDMS is directly comparable between both dissimilar sediments [29] and soils [30].
Some other are iterative methods for example, Ordered Predictor Selection-Partial Least Squares (OPS-PLS), Sequential Forward/Backward Selection, randomized methods that combine PLS with Genetic Algorithms (GA) or Monte-Carlo algorithms [45, 63 66].
