IMIST


Evolutionary statistical procedures (notice n° 6948)

000 -LEADER
fixed length control field 02262cam a2200349' 4500
001 - CONTROL NUMBER
control field UNI0000343
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20161122165902.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140924s2011 ge a f b 001 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642162176 (rel)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3642162177 (rel)
040 ## - CATALOGING SOURCE
Modifying agency IMIST
Description conventions rda
040 ## - CATALOGING SOURCE
Original cataloging agency ZWZ
Description conventions rda
041 1# - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Baragona, Roberto.
245 #0 - TITLE STATEMENT
Title Evolutionary statistical procedures
Remainder of title an evolutionary computation approach to statistical procedures designs and applications
Statement of responsibility, etc Roberto Baragona, Francesco Battaglia, Irene Poli.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Berlin
-- Heidelberg
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc [op. 2011]
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc copyright op. 2011.
300 ## - PHYSICAL DESCRIPTION
Extent 1 volume (XI-276 pages)
Other physical details fig.
Dimensions 24 cm.
490 1# - SERIES STATEMENT
Series statement Statistics and computing
500 ## - GENERAL NOTE
General note 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."
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Bibliogr. pages 261-272. Index.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistique mathématique
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Calcul évolutionnaire
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Evolutionary computation
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Evolutionary computation
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Battaglia, Francesco.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Poli,, Irene.
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        La bibliothèque des Sciences Exactes et Naturelles La bibliothèque des Sciences Exactes et Naturelles   21681   519.5 BAR 0000000022858 11/22/2016 11/22/2016 Livre
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