Two types of diagnostics are presented for the transformation of explanatory variables in regression. One is based on the likelihood displacement proposed by Cook and Weisberg (1982) for assessing the in uence of individual cases on the maximum likelihood estimate of a transformation parameter. The other is based on the local in uence theory proposed by Cook (1986) for assessing the in uence of...

The aim of this paper is to explore the heterogeneity in R&D collaborations and of their determinants and motives. Using a recent French survey on research and innovation relations, we first show the heterogeneity of such relations thanks to a typology of their characteristics: their nature (common research, sub-contracting, multi-partnership, management of a common structure), organizational a...

Many current approaches to statistical language modeling rely on independence a.~sumptions 1)etween the different explanatory variables. This results in models which are computationally simple, but which only model the main effects of the explanatory variables oil the response variable. This paper presents an argmnent in favor of a statistical approach that also models the interactions between ...

We propose a timescale decomposition approach to measurement-based admission control (MBAC). We identify a critical timescale f T h such that: 1) aggregate traac uctuation slower than f T h can be tracked by the admission controller and compensated for by ow admissions and departures; 2) uctuations faster than f T h have to be absorbed by reserving spare bandwidth on the link. The critical time...

Characterizing the spatial distribution of hedgerows over landscapes is important for understanding the effects of this distribution on the dynamics of plant and animal populations. Because hedgerows are planted or managed, the authors hypothesized that their distribution depends on the presence of other linear landscape elements, namely, roads and channels. Using proximity analyses, the author...

Many current approaches to statistical language modeling rely on independence a.~sumptions 1)etween the different explanatory variables. This results in models which are computationally simple, but which only model the main effects of the explanatory variables oil the response variable. This paper presents an argmnent in favor of a statistical approach that also models the interactions between ...