Evolutionary Statistical Procedures : An Evolutionary Computation Approach to Statistical Procedures Designs and Applications - nuovo libro
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… Altro …
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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… Altro …
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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… Altro …
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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 - nuovo libro
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… Altro …
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… Altro …
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… Altro …
ISBN: 9783642162183
Evolutionary Statistical Procedures - An Evolutionary Computation Approach to Statistical Procedures Designs and Applications: ab 106.99 € eBooks > Fachthemen & Wissenschaft > Sozialwisse… Altro …
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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Informazioni dettagliate del libro - Evolutionary Statistical Procedures
EAN (ISBN-13): 9783642162183
ISBN (ISBN-10): 3642162185
Anno di pubblicazione: 2011
Editore: Springer Berlin
296 Pagine
Lingua: eng/Englisch
Libro nella banca dati dal 2012-01-11T18:24:54+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-02-18T20:58:49+01:00 (Zurich)
ISBN/EAN: 3642162185
ISBN - Stili di scrittura alternativi:
3-642-16218-5, 978-3-642-16218-3
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : barag, bara, francesco poli, robert, roberto battaglia, kurosawa
Titolo del libro: evolutionary computing, pro evolution
Dati dell'editore
Autore: Roberto Baragona; Francesco Battaglia; Irene Poli
Titolo: Statistics and Computing; Evolutionary Statistical Procedures - An Evolutionary Computation Approach to Statistical Procedures Designs and Applications
Editore: Springer; Springer Berlin
276 Pagine
Anno di pubblicazione: 2011-01-03
Berlin; Heidelberg; DE
Lingua: Inglese
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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