Correction of the significance level when attempting multiple transformations of an explanatory variable in generalized linear models.

CPMCGLM: an R package for p-value adjustment when looking for an optimal transformation of a single explanatory variable in generalized linear models.. Benoit Liquet,

The Gradient Discretization method (GDM) [5, 3] provides a common mathematical framework for a number of numerical schemes dedicated to the approximation of elliptic or

More specifically, we introduce and analyze a new formulation of the so-called Linear Sampling Method (LSM) [7, 6], that we will refer to as Generalized Linear Sampling Method

In this chapter, we first outline some of the most important and widely used latent linear models in a unified frame- work with an emphasis on their identifiability

Though numerous studies have dealt with the α− methods, there is still a paucity of publi- cations devoted to the clarification of specific issues in the non-linear regime, such

Diophantine approximation with improvement of the simultaneous control of the error and of the denominator..

The effectiveness of the backup service requests for the transfer of pack- ages through aggregated channels, when presenting the analyzed system as a multi-channel QMS with a

This paper suggests the modification of the generalized recursion algorithm of the exact reachable sets com- putation for the linear discrete-time dynamic systems developed in the