| Record ID | harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:424512780:1342 |
| Source | harvard_bibliographic_metadata |
| Download Link | /show-records/harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:424512780:1342?format=raw |
LEADER: 01342nam a22004575a 4500
001 013371767-4
005 20121109191659.0
008 110106s2011 xxu| s ||0| 0|eng d
020 $a9781441979766$99781441979766 (ebk.)
020 $a9781441979766
024 7 $a10.1007/978-1-4419-7976-6$2doi
035 $a(Springer)9781441979766
040 $aSpringer
050 4 $aQA276-280
072 7 $aPBT$2bicssc
072 7 $aMBNS$2bicssc
072 7 $aMED090000$2bisacsh
082 04 $a519.5$223
100 1 $aBorcard, Daniel.
245 10 $aNumerical Ecology with R /$cby Daniel Borcard, Francois Gillet, Pierre Legendre.
260 $aNew York, NY :$bSpringer New York,$c2011.
300 $bdigital.
490 0 $aUse R
650 20 $aEpidemiology.
650 20 $aForests and forestry.
650 20 $aBiometry.
650 10 $aStatistics.
650 0 $aStatistics.
650 0 $aEpidemiology.
650 0 $aStatistical methods.
650 0 $aEcology.
650 0 $aForests and forestry.
650 24 $aStatistics for Life Sciences, Medicine, Health Sciences.
650 24 $aEnvironmental Monitoring/Analysis.
650 24 $aTheoretical Ecology/Statistics.
700 1 $aGillet, François.
700 1 $aLegendre, Pierre.
776 08 $iPrinted edition:$z9781441979759
830 0 $aUse R!
988 $a20121006
906 $0VEN