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Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications

Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications
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Field name Details
Dewey Class 519.5
Title Evolutionary Statistical Procedures (EB) : An Evolutionary Computation Approach to Statistical Procedures Designs and Applications / by Roberto Baragona, Francesco Battaglia, Irene Poli.
Author Baragona, Roberto
Added Personal Name Battaglia, Francesco
Poli, Irene
Other name(s) SpringerLink (Online service)
Publication Berlin, Heidelberg : Springer , 2011.
Physical Details XII, 276 pages : online resource.
Series Statistics and computing 1431-8784
ISBN 9783642162183
Summary Note 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.:
Contents note Introduction -- Evolutionary Computation -- Evolving Regression Models -- Time Series Linear and Nonlinear Models -- Design of Experiments -- Outliers -- Cluster Analysis.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-3-642-16218-3
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