Moda 5: Advances in Model-Oriented Data Analysis and Experimental Design : Proceedings of the 5th International Workshop in Marseilles, France, June 22-26

The Fifth International Workshop on Model Oriented Data Analysis MODA5 focused on experimental design particularly optimum design A strength of this series of workshops is that they bring together leading scientists from Eastern and Western Europe The proceedings therefore provides a valuable reference to the work of groups from many countries In addition to 11 papers on optimum designs for linear and nonlinear models there are groups of papers on designs for quality improvement designs in agriculture and for model building Non design problems include robustness in linear models and estimation problems in nonlinear models The volume concludes with a discussion on the teaching of experimental design This volume contains the majority of the papers presented at the 5th Inter national Workshop on Model Oriented Data Analysis held in June 1998 This series started in March 1987 with a meeting on the Wartburg Eisenach Germany The next three meetings were in 1990 St Kyrik monastery Bulgaria 1992 Petrodvorets StPetersburg Russia and 1995 Spetses Greece The main purpose of these workshops was to bring together lead ing scientists from Eastern and Western Europe for the exchange of ideas in theoretical and applied statistics with special emphasis on experimen tal design Now that the separation between East and West has become less rigid this dialogue has in principle become much easier However providing opportunities for this dialogue is as vital as ever MODA meetings are known for their friendly atmosphere leading to fruitful discussions and collaboration especially between young and senior scien tists Indeed many long term collaborations were initiated during these events This intellectually stimulating atmosphere is achieved by limiting the number of participants to around eighty by the choice of location so that participants can live as a community and of course through the care ful selection of scientific direction ma