Evolutionary Statistical Procedures : An Evolutionary Computation Approach to Statistical Procedures Designs and Applications - neues Buch
ISBN: 9783642162183
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 l… Mehr…
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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 l… Mehr…
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ISBN: 9783642162183
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 l… Mehr…
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ISBN: 9783642162183
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2011, ISBN: 9783642162183
An Evolutionary Computation Approach to Statistical Procedures Designs and Applications, eBooks, eBook Download (PDF), 2011, [PU: Springer Berlin], Seiten: 276, Springer Berlin, 2011
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Evolutionary Statistical Procedures : An Evolutionary Computation Approach to Statistical Procedures Designs and Applications - neues Buch
ISBN: 9783642162183
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 l… Mehr…
2011, ISBN: 9783642162183
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 l… Mehr…
ISBN: 9783642162183
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 l… Mehr…
ISBN: 9783642162183
Evolutionary Statistical Procedures - An Evolutionary Computation Approach to Statistical Procedures Designs and Applications: ab 106.99 € eBooks > Fachthemen & Wissenschaft > Sozialwisse… Mehr…
2011, ISBN: 9783642162183
An Evolutionary Computation Approach to Statistical Procedures Designs and Applications, eBooks, eBook Download (PDF), 2011, [PU: Springer Berlin], Seiten: 276, Springer Berlin, 2011
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Detailangaben zum Buch - Evolutionary Statistical Procedures
EAN (ISBN-13): 9783642162183
ISBN (ISBN-10): 3642162185
Erscheinungsjahr: 2011
Herausgeber: Springer Berlin
296 Seiten
Sprache: eng/Englisch
Buch in der Datenbank seit 2012-01-11T18:24:54+01:00 (Berlin)
Detailseite zuletzt geändert am 2023-02-18T20:58:49+01:00 (Berlin)
ISBN/EAN: 3642162185
ISBN - alternative Schreibweisen:
3-642-16218-5, 978-3-642-16218-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: barag, bara, francesco poli, robert, roberto battaglia, kurosawa
Titel des Buches: evolutionary computing, pro evolution
Daten vom Verlag:
Autor/in: Roberto Baragona; Francesco Battaglia; Irene Poli
Titel: Statistics and Computing; Evolutionary Statistical Procedures - An Evolutionary Computation Approach to Statistical Procedures Designs and Applications
Verlag: Springer; Springer Berlin
276 Seiten
Erscheinungsjahr: 2011-01-03
Berlin; Heidelberg; DE
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XII, 276 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Data Analysis; Design of Experiments; Evolutionary Computation; Metaheuristics; Optimization Algorithms; C; Statistics and Computing; Computer Imaging, Vision, Pattern Recognition and Graphics; Algorithms; Biomedical Research; Sociological Methods; Mathematics and Statistics; Mathematische und statistische Software; Bildverarbeitung; Algorithmen und Datenstrukturen; Medizinische Forschung; Soziologie; BC
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.A reference for statistical researchers at an advanced graduate level or beyond Deals with topics like time series data analysis, cluster analysis, design of experiments, outliers etc. that have practical aspects and should be appealing to readers For each application area benefits from using evolutionary methods are outlined There are no other books that deal with applications of EC in statistics Includes supplementary material: sn.pub/extras
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