Springer Recent Developments in Modeling and Applications in Statistics (Studies in Theoretical and Applied Statistics)

This volume contains contributions presented at the XVIII Annual Congress of the Portuguese Statistical Society. It presents new models for specific topical problems and will be a valuable resource for all those working in modeling statistical data. Review From the book reviews: “There are 26 papers in this volume and it is organized in six parts … . The volume is reasonably well organized and structured. … The volume presents both applied and theoretical papers for practitioners and researchers, respectively. The volume can be also be regarded as a reference book. The papers in the volume are intended for a wide readership.” (S. E. Ahmed, Technometrics, Vol. 55 (3), August, 2013) From the Back Cover Statistics has been a main tool in almost every field of activity and an essential part of applied scientific work, supporting conclusions and offering insights into new uses for established methodologies, thus making it a valuable resource in looking for faceless facts. Model construction describing populations or phenomena subject to randomness use a wide range of methods. Data collection provides the basis for modeling and assumption verification. Modeling must be conducted using suitable techniques that give researchers the means to search for hidden facts or behaviors. This may be addressed by fitting pre-defined shapes and distributions to the data or by allowing the data to reveal its intrinsic properties by using nonparametric methods. This volume contains a selection of contributions presented at the XVIII Annual Congress of the Portuguese Statistical Society. About the Author Paulo Eduardo Oliveira: PhD in 1991 at Université Lille I, France. Full professor at the Dept. of Mathematics at the Univ. of Coimbra since 2004. Has been a member of the Board of the Portug. Math. Soc. with a special interest in the Portug. Math. Olympiad. Research interests include limit theorems and nonparametric methods. Maria da Graça Temido: Graduated in 1988 from the University of Coimbra on Pure Math, M.Sc. in 1992 at the University of Lisbon on Probability and Statistics and Ph.D. in 2000 at the University of Coimbra on Applied Math. Since 2000, Assistant Professor at the Mathematics Dept., the University of Coimbra. Main research interest in Extreme Values Theory. Carla Henriques: PhD in 2006 at the University of Coimbra, Portugal. Professor at Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Viseu. Collaborates with research groups in medicine undertaking the statistical analysis of data. Research interests include limit theorems and applications of statistics to medical research. Maurizio Vichi: Maurizio Vichi is a full professor at Sapienza University of Rome. He is President of the Italian Statistical Society, Editor of the international journal Advances in Data Analysis and Classification, published by Springer, and Editor of the international series Classification, Data Analysis and Knowledge Organization, also published by Springer. He is also Editor of the new series Studies in Theoretical and Applied Statistics, published by Springer and founded together with the French Statistical Society, Italian Statistical Society, Spanish Statistical Society and Portuguese Statistical Society.He is the author of several papers published in international Journals and has spearheaded several research projects coordinating various university groups (PRIN, CNR, University). His research interests are mainly in multivariate statistics, data analysis and risk analysis in several fields of application in Economics and the Social Sciences. Maria da Graça Temido: Graduated in 1988 from the University of Coimbra on Pure Math, M.Sc. in 1992 at the University of Lisbon on Probability and Statistics and Ph.D. in 2000 at the University of Coimbra on Applied Math. Since 2000, Assistant Professor at the Mathematics Dept., the University of Coimbra. Main research interest in Extre