quantile

(redirected from Quantiles)
Also found in: Medical, Encyclopedia.

quantile

(ˈkwɒntaɪl)
n
(Statistics) statistics each of any set of values of a variate which divide a frequency distribution into equal groupings, each containing the same percentage of the total population
Translations
cuantil
References in periodicals archive ?
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.
Limited by the length of the paper, Table 2 merely lists the quantile vector autoregressive regression model results at representative quantiles (25%, 50%, and 75%, p=3).
(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.
For a comprehensive understanding of QR, we consider a linear specification for the conditional quantiles of [ROA.sub.i]
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).