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010 _a 2013936251
020 _a9781461471370 (acidfree paper)
020 _a1461471370 (acidfree paper)
020 _z9781461471387 (eBook)
020 _z1461471389 (eBook)
035 _a(OCoLC)ocn828488009
040 _aBTCTA
_beng
_cBTCTA
_dYDXCP
_dOHX
_erda
_dVTU
_dIQU
_dCDX
_dSINIE
_dDLC
042 _alccopycat
050 0 0 _aQA276
_b.I585 2013
072 7 _aQA
_2lcco
082 0 4 _a510 I 61
_222
245 0 3 _aAn introduction to statistical learning :
_bwith applications in R /
_cGareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
246 3 0 _aStatistical learning
264 1 _aNew York :
_bSpringer,
_c[2013]
264 4 _c©2013
300 _axvi, 426 pages :
_billustrations (some color) ;
_c24 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
490 1 _aSpringer texts in statistics,
_x1431-875X ;
_v103
500 _aIncludes index.
650 0 _aMathematical statistics.
650 0 _aMathematical models.
650 0 _aMathematical statistics
_vProblems, exercises, etc.
650 0 _aMathematical models
_vProblems, exercises, etc.
650 0 _aR (Computer program language)
650 0 _aStatistics.
700 1 _aJames, Gareth,
_eauthor.
700 1 _aWitten, Daniela,
_eauthor.
700 1 _aHastie, Trevor,
_eauthor.
700 1 _aTibshirani, Robert,
_eauthor.
830 0 _aSpringer texts in statistics ;
_v103.
906 _a7
_bcbc
_ccopycat
_d2
_encip
_f20
_gy-gencatlg
942 _2ddc
_cBK
_n0
999 _c103975
_d103975