in which [Y.sub.ij] are the grain yield values of the cultivar evaluated in j environments; [I.sub.j] are the values of the coded environmental index; [[beta].sub.0i]([tau]) refers to the intercept of each cultivar (average productivity); [[beta].sub.1i]([tau]) is the coefficient of regression of each cultivar (parameter of adaptability), and is the same indicator of the effect of environmental improvement in
quantiles of the distribution of productivity; and t indicates the
quantile of interest.
Table 3 shows the results from using standard OLS and
quantile regression at different
quantiles 0.10, 0.25, 0.50, 0.75, and 0.90.
Before interpreting the results displayed in these tables, we find very important to stress that with respect to
quantile regression analysis, countries located in higher
quantiles are those that receive higher bilateral aid from donors.
In accordance with this rationale, this study proposes that it is important to analyze the determinants of leverage for firms in the lower and higher
quantiles, and especially for firms with a higher leverage.
"But in 2018, the
quantiles of evil will be unfathomable with bigger and more elaborate scares and intimidation at every possible turn.
(6) The
quantiles [[??].sub.[tau]](z) are the [x.sup.*]'s which satisfy (36).
The solid line denotes the mean for the 0.25, 0.50, 0.75, and 0.90
quantiles, which are enveloped by two dashed lines representing a 95% Bayesian credible interval.
In addition to reporting fitted cumulative distribution function and associated 95% CIs, we reported certain
quantiles and means.
The low flow
quantiles of regional frequency distribution (growth curves) were estimated for different return periods and accuracy of these estimates were assessed under Relative Root Mean Square Error (RRMSE), Absolute Bias (AB), Relative Absolute Bias (RAB) together with Lower Error Bound (LEB) and Upper Error Bounds (UEB).