A comparison of bootstrap approaches for estimating uncertainty of parameters in linear mixed-effects models.

The power of tests based on symmetric and equal-tail bootstrap P values against certain alternatives may be quite different, as is shown in Section 8... these tests may have

Finally, we provide a new parametric bootstrap using the first four moments of the distribution of the residuals which is as accurate as a non parametric bootstrap which uses

Suite à l’analyse des neufs articles, six principaux résultats sont ressortis : la perception de la satisfaction et du bien-être des patients est influencée

As an immediate corollary, we also have that the bootstrap error in the coverage probability (ECP) is of order smaller than T (1=2+ ) for the equal-tailed test and of T (1+ ) for

After comparison with two methods used for asteroids, we show that the bootstrap appears a robust and pratical method for estimating the accuracy of predicted satellite positions..

The measurand uncertainty characterization using bootstrap techniques can be generally driven by the pdf estimation (sto- chastic method) in a nonlinear framework with unknown

In particular, a one- or two-level parametric bootstrap approach is valid in goodness-of-fit testing for copula models using either the empirical copula process or its

The différences between the asymptotic distribution of the bootstrap sample mean for infinitesimal arrays and for sequences of independent identically distributed