LEADER 01211nam0-2200397---450 001 990005661890203316 005 20190403124948.0 035 $a000566189 035 $aUSA01000566189 035 $a(ALEPH)000566189USA01 035 $a000566189 100 $a20050221d1982----|||y0itaa50------ba 101 $aita 102 $ait 105 $a0 00||| 200 1 $aIstruzione programmata$fLeonardo Trisciuzzi, Vladimir Muzic 210 $aTeramo$cLisciani & Giunti editori$dcopyr. 1982 215 $a98 p.$d21 cm. 225 2 $aEducazione nuova. Le idee e gli strumenti$fcollana diretta da Giuseppe Lisciani 410 0$12001$aEducazione nuova. Le idee e gli strumenti 606 $aPEDAGOGIA$2F 620 $dTERAMO 676 $a371.334 700 1$aTRISCIUZZI,$bLeonardo$0161965 701 1$aMUZIC,$bVladimir$0615260 801 0$aIT$bSA$c20111219 912 $a990005661890203316 950 0$aDipar.to di Filosofia - Salerno$dDFCC 371.334 TRI$e4052 FIL 951 $aCC 371.334 TRI$b4052 FIL 959 $aBK 969 $aFIL 979 $c20121027$lUSA01$h1525 979 $c20121027$lUSA01$h1615 996 $aIstruzione programmata$91134990 997 $aUNISA NUM $aSA0012619 LEADER 01694nam2 22003613i 450 001 UBO3023247 005 20231121125900.0 010 $a888887772X 100 $a20220712d2006 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $a˜3: œCuneo fiscale, fiscal drag, liberalizzazioni, disuguaglianze di opportunitą, Mezzogiorno, BCE, OPA: nuovi lemmi, le chiare risposte di sempre$fFiorella Kostoris Padoa Schioppa 210 $aRoma$cLuiss University press$d2006 215 $a156 p.$d21 cm. 225 | $aAgorą$v7 410 0$1001LO10837889$12001 $aAgorą$v7 461 1$1001CFI0655569$12001 $aLessico dell'economia$fFiorella Kostoris Padoa Schioppa$v3 606 $aEconomia$2FIR$3RMLC000063$9I 676 $a338.9$9SVILUPPO E CRESCITA ECONOMICA.$v21 700 1$aKostoris Padoa Schioppa$b, Fiorella$3CFIV043672$4070$0248757 790 1$aPadoa Schioppa$b, Fiorella$3CFIV127551$zKostoris Padoa Schioppa, Fiorella 790 1$aPadoa Schioppa Kostoris$b, Fiorella$3CFIV205002$zKostoris Padoa Schioppa, Fiorella 801 3$aIT$bIT-01$c20220712 850 $aIT-RM0289 $aIT-FR0017 899 $aBiblioteca Statale A. Baldini$bRM0289 $eN 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 $eN 912 $aUBO3023247 950 2$aBiblioteca umanistica Giorgio Aprea$d 52DGA E 141.3$e 52SBA0000294255 VMB RS $fA $h20230303$i20230303 977 $a 04$a 52 996 $aCuneo fiscale, fiscal drag, liberalizzazioni, disuguaglianze di opportunitą, Mezzogiorno, BCE, OPA: nuovi lemmi, le chiare risposte di sempre$93640674 997 $aUNICAS LEADER 02876oam 2200625I 450 001 9910787849103321 005 20180731044902.0 010 $a0-429-08856-6 010 $a1-4665-5153-4 024 7 $a10.1201/b17286 035 $a(CKB)2670000000557120 035 $a(EBL)1583987 035 $a(OCoLC)885122062 035 $a(SSID)ssj0001339087 035 $a(PQKBManifestationID)11780498 035 $a(PQKBTitleCode)TC0001339087 035 $a(PQKBWorkID)11345274 035 $a(PQKB)10898596 035 $a(OCoLC)889264431 035 $a(MiAaPQ)EBC1583987 035 $a(OCoLC)884926397 035 $a(CaSebORM)9781466551541 035 $a(EXLCZ)992670000000557120 100 $a20180331h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAge-period-cohort models $eapproaches and analyses with aggregate data /$fRobert M. O'Brien, University of Oregon, Eugene, USA 205 $a1st edition 210 1$aBoca Raton :$cCRC Press,$d[2015] 210 4$d©2015 215 $a1 online resource (216 p.) 225 1 $aChapman and Hall/CRC Statistics in the Social and Behavioral Sciences Series 300 $aDescription based upon print version of record. 311 $a1-322-63583-8 311 $a1-4665-5154-2 320 $aIncludes bibliographical references. 327 $a1. Introduction to the age, period, and cohort mix -- 2. Multiple classification models and constrained regression -- 3. Geometry of age-period-cohort (APC) models and constrained estimation -- 4. Estimable functions approach -- 5. Partitioning the variance in age-period-cohort (APC) models -- 6. Factor-characteristic approach -- 7. Conclusions : an empirical example. 330 $aDevelop a Deep Understanding of the Statistical Issues of APC AnalysisAge-Period-Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approach. See How Common Methods Are Related to Each OtherAfter a general and wide-ranging introductory chapter, the book explain 410 0$aStatistics in the social and behavioral sciences series. 606 $aCohort analysis 606 $aAge groups$xStatistical methods 615 0$aCohort analysis. 615 0$aAge groups$xStatistical methods. 676 $a001.42/2 676 $a001.422 700 $aO'Brien$b Robert M.$0230831 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910787849103321 996 $aAge-period-cohort models$93864789 997 $aUNINA