一、quantile-quantile plots 的意思是分位数-分位数图/Q-Q图（参考DictALL词都）二、quantile plot 分位数图 例句The thought of quantile plot in data mining was promoted novelly to measure VaR for risk control and invest decision.提出了将数据挖掘中分位数图的思想应用于VaR测量的新方法...
Quantile-Quantile (Q-Q) plots of the angles versus a uniform distribution (left), radii versus a half-Gaussian distribution (middle), transformed radii (see Sec. 3.3) versus a normal distribution...
Quantile‐quantile (Q‐Q) plot. No evidence of systematic inflation of p-values was found (λ = 1.007). The plots compare additive model statistics to those expected under the null distribution using fixed‐effects for all analyzed imputed SNPs passing quality control criteria in the studies...
q-q plots rely on quantiles, the number of data points in the two samples does not need to be equal. If the sample sizes are unequal, the q-q plot chooses the quantiles based on the smaller data set. If the resulting plot is linear, then the two sets of sample data likely come ...
The R base functionsqqnorm() andqqplot() can be used to produce quantile-quantile plots: qqnorm(): produces a normal QQ plot of the variable qqline(): adds a reference line qqnorm(my_data$len, pch = 1, frame = FALSE) qqline(my_data$len, col = "steelblue", lwd = 2) ...
Plots of this kind are called probability–probability, or P–P plots. P–P plots seem to be used less frequently than Q–Q plots, perhaps because comparisons of dimensional data values can be more intuitive than comparisons of cumulative probabilities. Also, because P–P plots converge to ...
Quantile-quantile Comparison as a Method for Testing AFIS DistributionsQuantile-Quantile comparisons are used often to test normality of experimental data in q-q plots. This method can be extended to compare sampling distributions and to test whether they are similarly distributed. AFIS distribution ...
Quantile-quantile (Q-Q) plots of the standardized residuals of model (2) for each combination of age and parity groups. The simulation studies show that the type I error rates of the GOF tests with RQRs are very close to the nominal level; in addition, the scatter-plots and Q鈥換 plot...
Graphical tools such as Q-Q plots are integral parts of exploratory data analyses, and of the post-hoc analyses such as the residual analysis in regression modeling. In this note we offer some practical continuous and smooth continuous alternatives to various empirical plots. Specifically, the ...
How should we interpret these Q–Q plots? As noted before, if the two distributions are the same, then the Q–Q plot will show a straight line through the origin at 45°. The closer we are to this case, the closer the distributions are. However, in addition to this, certain shapes ...