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 modelling and assumption verification. Modelling must be conducted using suitable techniques that give researchers the means to search for hidden facts or behaviours. 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.
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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 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 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 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 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.
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.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 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 modelling and assumption verification. Modelling must be conducted using suitable techniques that give researchers the means to search for hidden facts or behaviours. 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. 292 pp. Englisch. Codice articolo 9783642324185
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 292 | Sprache: Englisch | Produktart: Bücher | 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 modelling and assumption verification. Modelling must be conducted using suitable techniques that give researchers the means to search for hidden facts or behaviours. 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. Codice articolo 23097315/12
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Application of methodologies and modeling to describe random phenomena A valuable resource for all those working in modeling statistical dataNew models are proposed for specific topical problemsPaulo Eduardo Oliveira: Codice articolo 5056921
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 modelling and assumption verification. Modelling must be conducted using suitable techniques that give researchers the means to search for hidden facts or behaviours. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 292 pp. Englisch. Codice articolo 9783642324185
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