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Evolutionary Statistical Procedures - Roberto Baragona#Francesco Battaglia#Irene Poli
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Roberto Baragona#Francesco Battaglia#Irene Poli:
Evolutionary Statistical Procedures - neues Buch

2011, ISBN: 9783642162176

ID: 130672980

pThis 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./p 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. Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 05.01.2011 Buch (fremdspr.), Springer, .201

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Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications - Roberto Baragona, Francesco Battaglia, Irene Poli
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Roberto Baragona, Francesco Battaglia, Irene Poli:
Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications - neues Buch

ISBN: 9783642162176

ID: 978364216217

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. Roberto Baragona, Francesco Battaglia, Irene Poli, Books, Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications Books, Springer Berlin Heidelberg

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Evolutionary Statistical Procedures - Roberto Baragona#Francesco Battaglia#Irene Poli
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Roberto Baragona#Francesco Battaglia#Irene Poli:
Evolutionary Statistical Procedures - neues Buch

ISBN: 9783642162176

ID: 117782084

{´´p´´:´´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.´´} {´´p´´:´´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.´´} Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Evolutionary Statistical Procedures - Roberto Baragona#Francesco Battaglia#Irene Poli
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Roberto Baragona#Francesco Battaglia#Irene Poli:
Evolutionary Statistical Procedures - neues Buch

ISBN: 9783642162176

ID: 117782084

pThis 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./p 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. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Evolutionary Statistical Procedures - Roberto Baragona
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(*)
Roberto Baragona:
Evolutionary Statistical Procedures - neues Buch

ISBN: 9783642162176

[ED: Buch], [PU: Springer-Verlag GmbH], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, 276, [GW: 622g], offene Rechnung (Vorkasse vorbehalten), PayPal, Banküberweisung

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Details zum Buch
Evolutionary Statistical Procedures

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.

Detailangaben zum Buch - Evolutionary Statistical Procedures


EAN (ISBN-13): 9783642162176
ISBN (ISBN-10): 3642162177
Gebundene Ausgabe
Erscheinungsjahr: 2011
Herausgeber: Springer-Verlag GmbH
276 Seiten
Gewicht: 0,622 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 09.11.2008 10:27:19
Buch zuletzt gefunden am 02.08.2017 13:53:15
ISBN/EAN: 3642162177

ISBN - alternative Schreibweisen:
3-642-16217-7, 978-3-642-16217-6


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