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|a UAMI
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|a O'Brien, Robert M.,
|e author.
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|a Age-period-cohort models :
|b approaches and analyses with aggregate data /
|c Robert M. O'Brien.
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1 |
|a Boca Raton, Florida :
|b CRC Press,
|c [2014]
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|c ©2015
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|a 1 online resource (xii, 204 pages) :
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|a Includes bibliographical references and index.
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520 |
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|a Age-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.
|
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|a Online resource; title from PDF title page (CRCnetBASE, viewed July 30, 2014).
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|a 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.
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|a Cohort analysis.
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650 |
1 |
2 |
|a Cohort Studies
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6 |
|a Analyse par cohorte.
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6 |
|a Modèles mathématiques.
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|2 aat
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|a Cohort analysis.
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|i Print version:
|t Age-period-cohort Models.
|d Chapman & Hall 2014
|z 9781466551534
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|a Statistics in the social and behavioral sciences series.
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