Sentence examples for parametric confidence from inspiring English sources
The principle of these criteria is the minimization, with respect to the design, of the expected volume of a particular exact parametric confidence region.
We illustrate the benefit of the proposed method on two applications: the computing of non parametric confidence intervals and the use of genetic algorithms to compute the parameters of fusion functions.
This article outlines flexible strategies to model survival curves for censored data and find parametric confidence intervals using generalised lambda distributions.
Fig. 3 Parametric confidence interval (CI) for survival curve for cancer data from survival library in R. In the absence of full information, the quality of parametric modelling can be visually examined by comparing the fitted parametric model with a non parametric survival curve such as the Kaplan Meier (KM) survival curve.
Figure 1 presents the point estimates for each procedure, together with the parametric confidence intervals when the null hypothesis of homogeneity holds (continuous line), and the non-parametric confidence intervals for the observed statistic (dotted line).
Estimates of N b and 95% parametric confidence intervals were subsequently calculated for all populations (Larson et al. 2014).
Based on a non-parametric confidence interval (NPCI) method designed for use with the Haley-Knott regression method for mapping QTL, a CIM-specific method (CIM-NPCI) was developed to appropriately account for the selection of background markers during analysis of bootstrap-resampled data sets.
†† non-parametric confidence interval of the random intercept variance was obtained from a cluster bootstrap procedure.
Non-parametric confidence intervals (95%) were calculated for the median of the paired differences [ 34].
The final model was bootstrapped (n = 1000) to calculate relative standard errors (RSEs) of model parameters and non-parametric confidence intervals around these estimates.
To estimate the uncertainty around the ICER and ICUR, we will calculate 95% confidence intervals around the mean cost differences using the non-parametric confidence interval.
