Catalog

Record Details

Catalog Search



Complex Data Modeling and Computationally Intensive Statistical Methods Cover Image E-book E-book

Complex Data Modeling and Computationally Intensive Statistical Methods [electronic resource] / edited by Pietro Mantovan, Piercesare Secchi.

Record details

  • ISBN: 9788847013865
  • Physical Description: X, 170p. online resource.
  • Publisher: Milano : Springer Milan, 2010.
Subject: Statistics.
Data mining.
Mathematical statistics.
Statistics.
Statistics and Computing/Statistics Programs.
Statistical Theory and Methods.
Data Mining and Knowledge Discovery.

Electronic resources


LDR 01587nam a22004215i 4500
00128824
003CONS
00520131219125417.0
007cr nn 008mamaa
008110126s2010 it | s |||| 0|eng d
020 . ‡a9788847013865 ‡9978-88-470-1386-5
0247 . ‡a10.1007/978-88-470-1386-5 ‡2doi
035 . ‡a(DE-He213)978-88-470-1386-5
050 4. ‡aQA276-280
072 7. ‡aUFM ‡2bicssc
072 7. ‡aCOM077000 ‡2bisacsh
1001 . ‡aMantovan, Pietro. ‡eeditor.
24510. ‡aComplex Data Modeling and Computationally Intensive Statistical Methods ‡h[electronic resource] / ‡cedited by Pietro Mantovan, Piercesare Secchi.
264 1. ‡aMilano : ‡bSpringer Milan, ‡c2010.
300 . ‡aX, 170p. ‡bonline resource.
336 . ‡atext ‡btxt ‡2rdacontent
337 . ‡acomputer ‡bc ‡2rdamedia
338 . ‡aonline resource ‡bcr ‡2rdacarrier
347 . ‡atext file ‡bPDF ‡2rda
4901 . ‡aContributions to Statistics, ‡x1431-1968
650 0. ‡aStatistics.
650 0. ‡aData mining.
650 0. ‡aMathematical statistics.
65014. ‡aStatistics.
65024. ‡aStatistics and Computing/Statistics Programs.
65024. ‡aStatistical Theory and Methods.
65024. ‡aData Mining and Knowledge Discovery.
7001 . ‡aSecchi, Piercesare. ‡eeditor.
7102 . ‡aSpringerLink (Online service)
7730 . ‡tSpringer eBooks
77608. ‡iPrinted edition: ‡z9788847013858
830 0. ‡aContributions to Statistics, ‡x1431-1968
85640. ‡uhttp://biblioteca.ipicyt.edu.mx:2048/login?url=http://dx.doi.org/10.1007/978-88-470-1386-5 ‡yTexto completo ‡9CONS
950 . ‡aMathematics and Statistics (Springer-11649)
901 . ‡a28824 ‡b ‡c28824 ‡tbiblio ‡sSystem Local

Additional Resources