02902oam 2200637I 450 991082179530332120180731044902.01-04-005490-00-429-08856-61-4665-5153-410.1201/b17286 (CKB)2670000000557120(EBL)1583987(OCoLC)885122062(SSID)ssj0001339087(PQKBManifestationID)11780498(PQKBTitleCode)TC0001339087(PQKBWorkID)11345274(PQKB)10898596(OCoLC)889264431(MiAaPQ)EBC1583987(OCoLC)884926397(CaSebORM)9781466551541(EXLCZ)99267000000055712020180331h20152015 uy 0engur|n|---|||||txtccrAge-period-cohort models approaches and analyses with aggregate data /Robert M. O'Brien, University of Oregon, Eugene, USA1st editionBoca Raton :CRC Press,[2015]©20151 online resource (216 p.)Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences SeriesDescription based upon print version of record.1-322-63583-8 1-4665-5154-2 Includes bibliographical references.1. 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.Develop 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 explainStatistics in the social and behavioral sciences series.Cohort analysisAge groupsStatistical methodsCohort analysis.Age groupsStatistical methods.001.42/2001.422O'Brien Robert M.230831FlBoTFGFlBoTFGBOOK9910821795303321Age-period-cohort models4006165UNINA