LEADER 01857nam 2200445 450 001 9910824396603321 005 20230421115351.0 010 $a1-63087-420-5 035 $a(CKB)3710000000239148 035 $a(EBL)4534571 035 $a(MiAaPQ)EBC4534571 035 $a(Au-PeEL)EBL4534571 035 $a(CaPaEBR)ebr11215611 035 $a(OCoLC)951223474 035 $a(EXLCZ)993710000000239148 100 $a20160622h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aAtonement theories $ea way through the maze /$fBen Pugh 210 1$aEugene, Oregon :$cCascade Books,$d2014. 210 4$d©2014 215 $a1 online resource (204 p.) 300 $aDescription based upon print version of record. 311 $a1-62032-853-4 320 $aIncludes bibliographical references and index. 330 $aWith the subject of the atonement of Christ attracting such a lot of polemical work at this time, it is easy to conclude that the current debate is generating more heat than light. Atonement Theories presents the beginning student, pastor, or researcher with an accessible and fair treatment of every school of thought on this subject. Atonement Theories significantly updates previous histories of the doctrine, providing analysis of some fascinating and highly significant recent developments. It also intriguingly highlights at various points where aspects of this central message of Christianity 606 $aAtonement$xHistory of doctrines 615 0$aAtonement$xHistory of doctrines. 676 $a232.3 700 $aPugh$b Ben$01095554 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910824396603321 996 $aAtonement theories$93980860 997 $aUNINA LEADER 02801nam0 2200601 i 450 001 VAN0126731 005 20230626125400.773 017 70$2N$a9783030260064 100 $a20200214d2019 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aApplied multivariate statistical analysis$fWolfgang Karl Hardle, Léopold Simar 205 $a5. ed 210 $aCham$cSpringer$d2019 215 $axii, 558 p.$cill.$d24 cm 500 1$3VAN0234898$aApplied Multivariate Statistical Analysis$91522854 606 $a62H12$xEstimation in multivariate analysis [MSC 2020]$3VANC021210$2MF 606 $a62H25$xFactor analysis and principal components; correspondence analysis [MSC 2020]$3VANC025575$2MF 606 $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF 606 $a62H17$xContingency tables [MSC 2020]$3VANC030963$2MF 606 $a62H15$xHypothesis testing in multivariate analysis [MSC 2020]$3VANC030964$2MF 606 $a62H20$xMeasures of association (correlation, canonical correlation, etc.) [MSC 2020]$3VANC031434$2MF 606 $a62H10$xMultivariate distribution of statistics [MSC 2020]$3VANC033701$2MF 606 $a62F25$xParametric tolerance and confidence regions [MSC 2020]$3VANC033801$2MF 610 $aApplications in Finance$9KW:K 610 $aBig data analysis$9KW:K 610 $aCluster analysis$9KW:K 610 $aClustering$9KW:K 610 $aComputationally Intensive Techniques$9KW:K 610 $aConjoint Measurement Analysis$9KW:K 610 $aDimension Reduction Techniques$9KW:K 610 $aDiscriminant Analysis$9KW:K 610 $aHypothesis Testing$9KW:K 610 $aLasso and Elastic Net$9KW:K 610 $aMultivariate Classification$9KW:K 610 $aMultivariate data analysis$9KW:K 610 $aProjection Persuit$9KW:K 610 $aQuantitative Finance$9KW:K 610 $aSliced Inverse Regression$9KW:K 610 $aVariable Selection$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aHärdle$bWolfgang Karl$3VANV081192$0732741 701 1$aSimar$bLéopold$3VANV088020$0383823 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-26006-4$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0126731 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1512 $e08eMF1512 20200214 996 $aApplied multivariate statistical analysis$91522854 997 $aUNICAMPANIA