one-way analysis of covariance is a popular and common statisticalmethod, wherein the equality of the means of several random variables whichhave a linear relationship with a random mathematical variable, is tested. inthis study, a method is presented to improve the one-way analysis of covari-ance when there is an uncertainty in accepting the statistical hypotheses. themethod deals with a fuzzy...

One-way analysis of covariance is a popular and common statisticalmethod, wherein the equality of the means of several random variables whichhave a linear relationship with a random mathematical variable, is tested. Inthis study, a method is presented to improve the one-way analysis of covari-ance when there is an uncertainty in accepting the statistical hypotheses. Themethod deals with a fuzzy...

Domain analysis tries to reuse software in an e ective way New methodologies are start ing to be able to automate the process in di erent degrees with the construction of a domain model for each problem The general process is divided into several phases One of the most di cult tasks is the generation of the relationships which have to be de ned between the components in the domain In this paper...

The authors derive the joint distributions of a studentized deleted residual and various regression quantities, calculated with all the data or with one case deleted. They show that the correlation between the studentized deleted residual and the deleted test statistic has an interesting interpretation in terms of well-known regression quantities. These results allow them to examine the effect ...

Ti-TiC-TiC/diamond-like carbon (DLC) gradient nano-composite films have been prepared on NiTi alloy substrates by the technique of plasma immersion ion implantation and deposition (PIIID) combined with plasma-enhanced chemical vapor deposition (PECVD). The influence of negative bias voltage applied to the substrate (from -100 V to -500 V) on the chemical structure, microstructure, mechanical pr...

STATIS is a generalization of principal component analysis (PCA) whose goal is to analyze several sets of variables collected on the same set of observations. It is attributed to Escouffier (1980) and L’Hermier des Plantes (1976, see also Lavit et al., 1994), a related approach is known as procrustes matching by congruence coefficients in the English speaking community (Korth & Tucker, 1976). T...

We introduce estimators for the entropy production of a Gibbsian process based on the observation of a single or two typical trajectories. These estimators are built with adequate hitting and return times. We then study their convergence and fluctuation properties. This provides statis-ticals test for the irreversibility of Gibbsian processes.

In this paper we turn the attention to a well developed theory of fuzzy/lin-guis-tic models that are interpretable and, moreover, can be learned from the data.We present four different situations demonstrating both interpretability as well as learning abilities of these models.