9783642266546 - evolutionary statistical procedures: an evolutionary computation approach to statistical procedures designs and applications di baragona, roberto; battaglia, francesco; poli, irene (12 risultati)
Lingua: Inglese
Editore: Springer, 2013
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Lingua: Inglese
Editore: Springer, 2013
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Condizione: New. pp. 290.
Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications
Baragona, Roberto (Author)/ Battaglia, Francesco (Author)/ Poli, Irene (Author)
Lingua: Inglese
Editore: Springer, 2013
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 2011 edition. 288 pages. 9.25x6.10x0.67 inches. In Stock.
Altre immaginiLingua: Inglese
Editore: Springer, 2013
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Evolutionary Statistical Procedures | An Evolutionary Computation Approach to Statistical Procedures Designs and Applications | Roberto Baragona (u. a.) | Taschenbuch | Statistics and Computing | xii | Englisch | 2013 | Springer | EAN 9783642266546 | Verantwortliche Person für die EU: Springer Verla…g GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2013
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer, 2013
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, 2013
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
Lingua: Inglese
Editore: Springer Berlin Heidelberg Feb 2013, 2013
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2013
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Da: moluna, Greven, Germaniamoluna
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Condizione: 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.
Lingua: Inglese
Editore: Springer, 2013
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 290.
Lingua: Inglese
Editore: Springer, 2013
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 290.
Lingua: Inglese
Editore: Springer, Springer Gabler Feb 2013, 2013
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 alg…orithms 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.
