Tham khảo tài liệu 'data for marketing risk and customer relationship management_6', kinh doanh - tiếp thị, quản trị kinh doanh phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Page 144 lftmbs mean of liftd1-liftd25 lftsdbs std of liftd1-liftd25 liftf 100 actmnf actomn_g bsest_p 2 prdmnf - prdmbs lci_p bsest_p - actsdbs uci_p bsest_p actsdbs bsest_a 2 actmnf - actmbs lci_a bsest_a - actsdbs uci_a bsest_a actsdbs bsest_l 2 liftf - lftmbs lci_l bsest_l - lftsdbs ucil bsestl lftsdbs run Finally the code that follows produces the gains table seen in Figure . The results are very similar to the results seen using the jackknifing technique. The range of values around all the estimates are fairly close indicating a robust model. proc format picture perc low-high mult 1000000 proc tabulate data var liftf bsest_p prdmnf lci_p uci_p bsest_a actmnf lci_a uci_a bsest_l lftmbs lci_l uci_l class val_dec table val_dec Decile all Total prdmnf Actual Prob mean f perc. bsest_p BS Est Prob mean f perc. lci_p BS Lower CI Prob mean f perc. uci_p BS Upper CI Prob mean f perc. actmnf Percent Active mean f perc. bsest_a BS Est Active mean f perc. lci_a BS Lower CI Active mean f perc. uci_a BS Upper CI Active mean f perc. liftf Lift mean f 4. bsest_l BS Est Lift mean f 4. lci_l BS Lower CI Lift mean f 4. uci_l BS Upper CI Lift mean f 4. rts 6 row float run -----1------ -----r r----------r----r--------r--1-- 1 I I í Í I I I I as I BS I I I B5 I BS ị BS I BB I BS Bit I Lower I UỊpptr j I ILower I upper J I Act uni 9S Fit ị Lower I upper Percent I I CI I CI I BS EU CI I CI I I Prob I Prob J CI Prob ICI ProbI Act Ivo ActIvo I Active jActive I lift I Lift I Litt I Litt I I------1-----1 H--------1------b Ỉ-----------1--1-----1-----------------1----1-1---------1 ịoecll I I I I I I I I I I I I I I------ I jo I 4-631 1 4. 41 1 1 1 .038 1 4 101 1 1 277 2801 2 1 3ie I------i----- I----1-----1------7----i--------ị--------------------------i----1-----------H w l I 1 1 1 1 1 1 1 151 I 1 9 1241 174 .
