ow to use linear belief functions to arket information and financia including complete ignorance, statis ations, subjective speculations, dis ssumptions, linear relations, and em pricing models. We then appeal to rule of combination to integrate the for assessing an overall belief on rformance, and to update this belie ting additional information.

A statistical selection method is proposed for generating an optimized recording script for Concatenative Speech Synthesizer. This method starts with traveling a large text corpus to collect the statistical information of the Context Variation Unit Vectors (CVUV), which represent the multi-dimension phonetic contexts and properties of the synthesis unit. Each CVUV descriptor is organized as a n...

We consider a model for sensory profiling data including translation, rotation and scaling. We compare two methods to calculate an overall consensus from several data matrices: GPA and STATIS. These methods are briefly illustrated and explained under our model. A series of simulations to compare their performance has been carried out. We found significant differences in performance depending on...

We consider the problem of quantizer design in a distributed estimation system with communication constraints in the case where only a training sequence is available. Our approach is based on a generalization of regression trees. The lookahead method that we also propose improves significantly the performance. The final system performs similarly to the one that assumes known statis-

there are many situations for statistical process in which we have both random and vagueinformation. when uncertainty is due to fuzziness of information, fuzzy statistical control charts play animportant role in the monitoring process, because they simultaneously deal with both kinds of uncertainty.dealing with fuzzy characteristics using classical methods may cause the loss of information and ...

There are many situations for statistical process in which we have both random and vagueinformation. When uncertainty is due to fuzziness of information, fuzzy statistical control charts play animportant role in the monitoring process, because they simultaneously deal with both kinds of uncertainty.Dealing with fuzzy characteristics using classical methods may cause the loss of information and ...

We propose a non parametric quality control strategy based on the three way method STATIS and convex hull peeling for monitoring batch processes with constant or variable duration. The method is illustrated on a simulated data set and on a real one.