MA
2010
Springer
13 years 3 months ago
2010
Springer
We use a recent characterization of the d-dimensional Archimedean copulas as the survival copulas of d-dimensional simplex distributions (McNeil and Neˇslehov´a (2009)) to const...
MA
2010
Springer
13 years 3 months ago
2010
Springer
The paper reconsiders the autoregressive aided periodogram bootstrap (AAPB) which has been suggested in Kreiß and Paparoditis (2003). Their idea was to combine a time domain param...
MA
2010
Springer
13 years 3 months ago
2010
Springer
In this article, for the first time, one develops a nonparametric methodology for an analysis of shapes of configurations of landmarks on real 3D objects from regular camera pho...
MA
2010
Springer
13 years 3 months ago
2010
Springer
We consider the problem of estimating the regression function in functional linear regression models by proposing a new type of projection estimators which combine
MA
2010
Springer
13 years 3 months ago
2010
Springer
A general approach for developing distribution free tests for general linear models based on simplicial depth is applied to multiple regression. The tests are based on the asympto...
MA
2010
Springer
13 years 3 months ago
2010
Springer
In Cator and Lopuha¨a [3] an asymptotic expansion for the MCD estimators is established in a very general framework. This expansion requires the existence and non-singularity of ...
MA
2010
Springer
13 years 3 months ago
2010
Springer
MA
2010
Springer
13 years 3 months ago
2010
Springer
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
MA
2010
Springer
13 years 3 months ago
2010
Springer
We describe several analytical and numerical procedures to obtain bounds on the distribution function of a sum of n dependent risks having fixed overlapping marginals. As an appl...
MA
2010
Springer
13 years 3 months ago
2010
Springer
We continue our recent work on finite-sample, i.e., non-asymptotic, inference with two-step, monotone incomplete data from Nd(µ, Σ), a multivariate normal population with mean ...