000 01663cam a22003617a 4500
999 _c15139
_d15139
001 20413843
003 OSt
005 20250910145048.0
008 180320s2017 ncua b 001 0 eng
010 _a 2017470366
020 _a9781629604831
020 _a1629604836
035 _a20413843
040 _aDLC
_cDLC
_dDLC
050 0 0 _aMLCM 2022/43747 (H)
100 1 _aRibeiro, Jorge,
_eauthor.
245 1 0 _aBusiness survival analysis using SAS :
_ban introduction to lifetime probabilities /
_cJorge Ribeiro.
264 1 _aCary, N.C. :
_bSAS Institute,
_c2017.
300 _axvi, 218 pages :
_billustrations ;
_c28 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
504 _aIncludes bibliographical references (p. [213]-214) and index.
505 0 _aData preparation for survival models -- Exploratory data anlysis and basic statistical concepts -- Stratified sampling method for survival analysis -- SAS Enterprise Miner use from source to customer-level model output -- The cubic spline regression and model interpretation -- The fully expanded data set model -- Statistics for performance and validation -- Scoring new and old customers.
630 0 0 _aEnterprise miner.
630 0 0 _aSAS (Computer file)
650 0 _aCommercial statistics.
650 0 _aSurvival analysis (Biometry)
650 0 _aBusiness
_xData processing.
700 _aNguyễn Quốc Dũng
710 2 _aSAS Institute.
906 _a7
_bcbc
_corignew
_d4
_encip
_f20
_gy-gencatlg
942 _2ddc
_cTL