Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications - Couverture souple

Baragona, Roberto; Battaglia, Francesco; Poli, Irene

9783642266546: Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications

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ISBN 10 : 3642266541 ISBN 13 : 9783642266546

Editeur : Springer, 2013

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This book offers a solid introduction to evolutionary computation for use in applied statistics research. It guides readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2013
ISBN 10 3642266541
ISBN 13 9783642266546
ReliureBroch�
Langueanglais
Nombre de pages288

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9783642162176: Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications

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ISBN 10 : 3642162177 ISBN 13 : 9783642162176
Editeur : Springer-Verlag Berlin and Heide..., 2011
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Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications (Statistics and Computing)

Baragona, Roberto; Battaglia, Francesco; Poli, Irene

Edit� par Springer, 2013

ISBN 10 : 3642266541 ISBN 13 : 9783642266546

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Evolutionary Statistical Procedures

Roberto Baragona

Edit� par Springer Berlin Heidelberg Feb 2013, 2013

ISBN 10 : 3642266541 ISBN 13 : 9783642266546

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work for statistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer science. 288 pp. Englisch. N� de r�f. du vendeur 9783642266546

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Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications (Statistics and Computing)

Baragona, Roberto; Battaglia, Francesco; Poli, Irene

Edit� par Springer, 2013

ISBN 10 : 3642266541 ISBN 13 : 9783642266546

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Evolutionary Statistical Procedures : An Evolutionary Computation Approach to Statistical Procedures Designs and Applications

Roberto Baragona

Edit� par Springer Berlin Heidelberg, 2013

ISBN 10 : 3642266541 ISBN 13 : 9783642266546

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work for statistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer science. N� de r�f. du vendeur 9783642266546

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Evolutionary Statistical Procedures

Roberto Baragona|Francesco Battaglia|Irene Poli

Edit� par Springer Berlin Heidelberg, 2013

ISBN 10 : 3642266541 ISBN 13 : 9783642266546

Neuf Couverture souple

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A reference for statistical researchers at an advanced graduate level or beyondDeals with topics like time series data analysis, cluster analysis, design of experiments, outliers etc. that have practical aspects and should be appealing to readers. N� de r�f. du vendeur 5054705

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