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Evolutionary Statistical Procedures - Roberto Baragona
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Roberto Baragona:

Evolutionary Statistical Procedures - neues Buch

ISBN: 9783642162183

ID: 9783642162183

An Evolutionary Computation Approach to Statistical Procedures Designs and Applications 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. 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. Algorithmus Bildbearbeitung Bildverarbeitung Grafik (EDV) / Bildverarbeitung Mathematik / Statistik Medizin / Diagnostik, Labormedizin Sozialwissenschaften Wissenschaft / Sozialwissenschaften COMPUTERS / Mathematical & Statistical Software, Springer-Verlag Gmbh

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Evolutionary Statistical Procedures - Francesco Battaglia, Irene Poli, Roberto Baragona
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Francesco Battaglia, Irene Poli, Roberto Baragona:

Evolutionary Statistical Procedures - neues Buch

1, ISBN: 9783642162183

ID: 203179783642162183

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 distributio 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. Application Software, Computers, Evolutionary Statistical Procedures~~ Francesco Battaglia, Irene Poli, Roberto Baragona~~Application Software~~Computers~~9783642162183, en, Evolutionary Statistical Procedures, Francesco Battaglia, Irene Poli, Roberto Baragona, 9783642162183, Springer, 01/03/2011, , , , Springer, 01/03/2011

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

1

ISBN: 9783642162183

ID: 203179783642162183

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 distributio 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. Adult, Computers, Evolutionary Statistical Procedures~~ Francesco Battaglia, Irene Poli, Roberto Baragona~~Adult~~Computers~~9783642162183, en, Evolutionary Statistical Procedures, Francesco Battaglia, Irene Poli, Roberto Baragona, 9783642162183, Springer, 01/03/2011, , , , Springer, 01/03/2011

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

2011, ISBN: 3642162185

ID: 9783642162183

In englischer Sprache. Verlag: Springer Berlin, 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. PC-PDF, 276 Seiten, XII Seiten, 276 Seiten, [GR: 9627 - Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik], [SW: - Wahrscheinlichkeitsrechnung und Statistik], [Ausgabe: 2011][PU:Springer Berlin], [PU: Springer, Berlin/Heidelberg/New York, NY]

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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 - Erstausgabe

2011, ISBN: 9783642162183

ID: 21777622

An Evolutionary Computation Approach to Statistical Procedures Designs and Applications, [ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Springer-Verlag]

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