TY  - BOOK
AU  - Baragona,Roberto
AU  - Battaglia,Francesco
AU  - Poli,,Irene
TI  - Evolutionary statistical procedures: an evolutionary computation approach to statistical procedures designs and applications 
T2  - Statistics and computing
SN  - 9783642162176 (rel)
AV  - QA276 
U1  - 519.5 22
PY  - 2011///]
CY  - Berlin , Heidelberg 
PB  - Springer
KW  - Statistique mathématique
KW  - Calcul évolutionnaire
KW  - Mathematical statistics
KW  - Evolutionary computation
N1  - La 4e de couv. indique : "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."; Bibliogr. pages 261-272. Index
ER  -