LEADER 00832nam2-22003131i-450- 001 990000191750403321 005 20051010112611.0 035 $a000019175 035 $aFED01000019175 035 $a(Aleph)000019175FED01 035 $a000019175 100 $a20020821d1956----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $ay-------001yy 200 1 $aKältephysik 1. 210 $aBerlin$cSpringer-Verlag$d1956 215 $aVI, 349 p.$cill.$d25 cm 300 $aFrontespizio anche in inglese 461 0$1001000001216$12001$aHandbuch der physik$v14 610 0 $aBasse temperature 676 $a536.56 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000191750403321 952 $a13 SC IV B 23$b21643$fFINBC 959 $aFINBC 996 $aKältephysik 1$9122611 997 $aUNINA 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