LEADER 00966nam0-22003251i-450- 001 990002579380403321 005 20070531153118.0 035 $a000257938 035 $aFED01000257938 035 $a(Aleph)000257938FED01 035 $a000257938 100 $a20030910d1950----km-y0itay50------ba 101 0 $aeng 102 $aGB 200 1 $aProceedings of the centenary assembly of the Institute of Actuaries 210 $aCambridge$cCambridge University Press$d1950 215 $a3 v.$d23 cm 610 0 $aAtti di convegni 610 0 $aMatematica attuariale 676 $a519 710 02$aInstitute of Actuaries$c$0427653 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002579380403321 952 $aMXXX-A-7$b1464a$fMAS 952 $aMXXX-A-8$b1464b$fMAS 952 $aMXXX-A-9$b1464c$fMAS 959 $aMAS 996 $aProceedings of the centenary assembly of the Institute of Actuaries$9436142 997 $aUNINA LEADER 01648nam2 22003253i 450 001 CFI0389429 005 20231121125452.0 100 $a20090307d1996 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $a˜La œvita Germani di Costanzo di Lione$erealtà storica e prospettive storiografiche nella Gallia del quinto secolo$fMaurizio Miele 210 $aRoma$c[s. n.]$d1996$eRoma$gG. Bardi 215 $aP. 132-249$d24 cm 300 $aEstr. da: Atti della Accademia nazionale dei Lincei, (1996), Classe di scienze morali, storiche e filologiche, Memorie, serie 9., vol. 7., fasc. 2. 461 1$1001CFI0112150$12001 $aAtti della Accademia nazionale dei Lincei. Classe di scienze morali, storiche e filologiche. Memorie 606 $aCostanzo : di Lione . Vita Germani$2FIR$3RMLC273200$9E 676 $a873.02$9Poesia epica e narrativa latina. Periodo precarolino, 500 ca.-749 ca.$v21 700 1$aMiele$b, Maurizio$3PUVV173345$4070$0737222 801 3$aIT$bIT-01$c20090307 850 $aIT-RM028 $aIT-RM0418 $aIT-FR0017 899 $aBiblioteca Universitaria Alessandrina$bRM028 899 $aBIBLIOTECA ACCADEMIA NAZ. DEI LINCEI E CORSINIANA$bRM0418 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 $eN 912 $aCFI0389429 950 2$aBiblioteca umanistica Giorgio Aprea$d 52DFA COLL A 12.2$e 52FLS0000328585 VMB RS Ser. 9., vol. 7., fasc. 2.$fC $h20150330$i20150330 977 $a 01$a 10$a 52 996 $aVita Germani di Costanzo di Lione$93605937 997 $aUNICAS LEADER 04512nam 22005535 450 001 9911015874603321 005 20250710135008.0 010 $a979-88-6881-421-1 024 7 $a10.1007/979-8-8688-1421-1 035 $a(MiAaPQ)EBC32202165 035 $a(Au-PeEL)EBL32202165 035 $a(CKB)39620846900041 035 $a(CaSebORM)9798868814211 035 $a(OCoLC)1527722509 035 $a(OCoLC-P)1527722509 035 $a(DE-He213)979-8-8688-1421-1 035 $a(OCoLC)1527664271 035 $a(EXLCZ)9939620846900041 100 $a20250708d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConceptual Variable Design for Scorecards $eA Standardized Methodology for the Model-Building Process /$fby Saul Rodrigo Alvarez Zapiain 205 $a1st ed. 2025. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2025. 215 $a1 online resource (532 pages) 225 1 $aProfessional and Applied Computing Series 300 $aDescription based upon print version of record. 311 08$a979-88-6881-420-4 327 $aChapter 1: Conceptual Representations -- Chapter 2: Conceptual Modelling -- Chapter 3: Balance Equation -- Chapter 4: Ratios -- Chapter 5: Time and Behavioral Patterns.-Chapter 6: Additional Variables -- Chapter 7: Things to Know About ABTs -- Chapter 8 The Building Plan and Variable Management -- Chapter 9: Target Population -- Chapter 10: The ABT Building Process -- Chapter 11: A Brief Introduction to the use of SAS® Enterprise MinerTM -- Chapter 12: Partitioning -- Chapter 13: Univariable Analysis -- Chapter 14: Collinearity Analysis -- Chapter 15: Weight of Evidence -- Chapter 16: Multivariable Selection Methods -- Chapter 17: Experimental Design and Hyperoptimization -- Chapter 18: The Main-Effects Model -- Chapter 19: The Scoring Process -- Chapter 20: Closing Thoughts. 330 $aEmbark on a journey through the intricate landscape of predictive modeling, where the fusion of conceptual clarity and robust statistical techniques creates powerful tools for decision-making. This book distills years of experience into a standardized methodology that empowers professionals across industries?from banking to telecommunications?to construct scorecards that predict outcomes with precision and confidence. In a world driven by data, the ability to transform complex information into actionable insights is paramount. This is your essential guide to mastering the art and science of model building. With practical examples, real-world case studies, and step-by-step guidance, this book is not just a resource?it's a roadmap to success in the rapidly evolving field of analytics. By focusing on reducing operational risk, you?ll be equipped to make informed decisions that safeguard your organization?s future. Whether you?re a seasoned data scientist or just starting your journey, Conceptual Variable Design for Scorecards will provide you with the knowledge and skills to thrive in an era where data-driven decisions are the key to competitive advantage. Join the ranks of forward-thinking professionals who are redefining the future of risk management and predictive analytics. Your journey begins here. You will: Harness the power of conceptualization to create models that solve real-world problems. Design meaningful variables that reflect the behaviors of your target population. Expand variables with temporal patterns to capture trends and dynamic changes. Master data integration to streamline preparation and avoid common pitfalls. Implement a unified workflow to simplify and accelerate the modeling process. Explore a larger number of variables in your multivariable models by harnessing the use of experimental design and hyperoptimization. 410 0$aProfessional and Applied Computing Series 606 $aDecision making$xMathematical models 606 $aMathematical models$xMethodology 606 $aOrganizational effectiveness$xMeasurement 615 0$aDecision making$xMathematical models. 615 0$aMathematical models$xMethodology. 615 0$aOrganizational effectiveness$xMeasurement. 676 $a003.56 700 $aZapiain$b Saul Rodrigo Alvarez$01832370 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015874603321 996 $aConceptual Variable Design for Scorecards$94406493 997 $aUNINA