Age-Period-Cohort Analysis : New Models, Methods, and Empirical Applications
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three resea...
Ausführliche Beschreibung
Autor*in: |
Yang, Yang [verfasserIn] |
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Format: |
E-Book |
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Sprache: |
Englisch |
Erschienen: |
Erscheinungsort nicht ermittelbar: Taylor & Francis ; 2013 |
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Rechteinformationen: |
Open Access Creative Commons ; https://creativecommons.org/licenses/by-nc-nd/4.0 |
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Schlagwörter: |
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Umfang: |
1 Online-Ressource |
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Links: |
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Katalog-ID: |
1836461895 |
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(DE-627)1836461895 (DE-599)KEP062200755 (OCoLC)1286387567 (OAPEN)41269 (EBP)062200755 DE-627 eng DE-627 rda eng PBT bicssc Yang, Yang verfasserin aut Age-Period-Cohort Analysis New Models, Methods, and Empirical Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Probability & statistics Probability and statistics Land, Kenneth C. oth https://library.oapen.org/bitstream/id/9c21318d-cc7e-4480-8fa2-77e1028ac870/9781466507524.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41269 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119902 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671958 OLR-OAPEN f z 01-03-23 30 01 0104 4281032541 GBV-OAPEN z 01-03-23 31 01 0027 4280314659 z 01-03-23 34 01 3551 4278870183 OLR-OAPEN zi002 01-03-23 39 01 0547 4281223541 GBV-OAPEN ke 01-03-23 40 01 0007 4279938679 OLR-OAPEN xsn 01-03-23 63 01 3401 4281605193 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281855521 OLR-OAPEN z 01-03-23 70 01 0089 4280492956 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 427869279X OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 434321933X OLR-OAL Vervielfältigungen (z.B. 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(DE-627)1836461895 (DE-599)KEP062200755 (OCoLC)1286387567 (OAPEN)41269 (EBP)062200755 DE-627 eng DE-627 rda eng PBT bicssc Yang, Yang verfasserin aut Age-Period-Cohort Analysis New Models, Methods, and Empirical Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Probability & statistics Probability and statistics Land, Kenneth C. oth https://library.oapen.org/bitstream/id/9c21318d-cc7e-4480-8fa2-77e1028ac870/9781466507524.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41269 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119902 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671958 OLR-OAPEN f z 01-03-23 30 01 0104 4281032541 GBV-OAPEN z 01-03-23 31 01 0027 4280314659 z 01-03-23 34 01 3551 4278870183 OLR-OAPEN zi002 01-03-23 39 01 0547 4281223541 GBV-OAPEN ke 01-03-23 40 01 0007 4279938679 OLR-OAPEN xsn 01-03-23 63 01 3401 4281605193 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281855521 OLR-OAPEN z 01-03-23 70 01 0089 4280492956 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 427869279X OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 434321933X OLR-OAL Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 24-06-23 110 01 3110 428140855X OLR-GBV-OAPEN Open Access z 01-03-23 136 01 3526 4279579741 OLR-OAPEN z 01-03-23 147 01 3528 4282053933 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 01-03-23 161 01 0960 4278126549 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 187 01 3520 4278511345 JSTOR Open Access eBook z 28-02-23 213 01 0551 4279225354 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 230 01 0552 4279402531 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 283 01 3283 4279761442 OLR-OAL z 01-03-23 293 01 3293 4278305567 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 370 01 4370 4279047928 OLR-FREE Kostenloser Zugriff z 01-03-23 603 01 4603 4277948596 OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-02-23 808 01 4808 4280850895 OLR-OAPEN OAPEN Library zg 01-03-23 2403 01 DE-LFER 4307800656 00 --%%-- --%%-- n --%%-- l01 12-04-23 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/41269 23 01 0830 https://library.oapen.org/handle/20.500.12657/41269 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/41269 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/41269 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/41269 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/41269 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/41269 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/41269 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/41269 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/41269 95 01 3095 https://library.oapen.org/handle/20.500.12657/41269 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/41269 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/41269 147 01 3528 https://library.oapen.org/handle/20.500.12657/41269 161 01 0960 https://library.oapen.org/handle/20.500.12657/41269 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/41269 213 01 0551 https://library.oapen.org/handle/20.500.12657/41269 230 01 0552 https://library.oapen.org/handle/20.500.12657/41269 283 01 3283 https://library.oapen.org/handle/20.500.12657/41269 293 01 3293 https://library.oapen.org/handle/20.500.12657/41269 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/41269 603 01 4603 https://library.oapen.org/handle/20.500.12657/41269 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/41269 2403 01 DE-LFER https://library.oapen.org/bitstream/id/9c21318d-cc7e-4480-8fa2-77e1028ac870/9781466507524.pdf 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN |
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(DE-627)1836461895 (DE-599)KEP062200755 (OCoLC)1286387567 (OAPEN)41269 (EBP)062200755 DE-627 eng DE-627 rda eng PBT bicssc Yang, Yang verfasserin aut Age-Period-Cohort Analysis New Models, Methods, and Empirical Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Probability & statistics Probability and statistics Land, Kenneth C. oth https://library.oapen.org/bitstream/id/9c21318d-cc7e-4480-8fa2-77e1028ac870/9781466507524.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41269 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119902 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671958 OLR-OAPEN f z 01-03-23 30 01 0104 4281032541 GBV-OAPEN z 01-03-23 31 01 0027 4280314659 z 01-03-23 34 01 3551 4278870183 OLR-OAPEN zi002 01-03-23 39 01 0547 4281223541 GBV-OAPEN ke 01-03-23 40 01 0007 4279938679 OLR-OAPEN xsn 01-03-23 63 01 3401 4281605193 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281855521 OLR-OAPEN z 01-03-23 70 01 0089 4280492956 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 427869279X OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 434321933X OLR-OAL Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 24-06-23 110 01 3110 428140855X OLR-GBV-OAPEN Open Access z 01-03-23 136 01 3526 4279579741 OLR-OAPEN z 01-03-23 147 01 3528 4282053933 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 01-03-23 161 01 0960 4278126549 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 187 01 3520 4278511345 JSTOR Open Access eBook z 28-02-23 213 01 0551 4279225354 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 230 01 0552 4279402531 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 283 01 3283 4279761442 OLR-OAL z 01-03-23 293 01 3293 4278305567 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 370 01 4370 4279047928 OLR-FREE Kostenloser Zugriff z 01-03-23 603 01 4603 4277948596 OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-02-23 808 01 4808 4280850895 OLR-OAPEN OAPEN Library zg 01-03-23 2403 01 DE-LFER 4307800656 00 --%%-- --%%-- n --%%-- l01 12-04-23 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/41269 23 01 0830 https://library.oapen.org/handle/20.500.12657/41269 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/41269 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/41269 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/41269 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/41269 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/41269 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/41269 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/41269 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/41269 95 01 3095 https://library.oapen.org/handle/20.500.12657/41269 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/41269 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/41269 147 01 3528 https://library.oapen.org/handle/20.500.12657/41269 161 01 0960 https://library.oapen.org/handle/20.500.12657/41269 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/41269 213 01 0551 https://library.oapen.org/handle/20.500.12657/41269 230 01 0552 https://library.oapen.org/handle/20.500.12657/41269 283 01 3283 https://library.oapen.org/handle/20.500.12657/41269 293 01 3293 https://library.oapen.org/handle/20.500.12657/41269 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/41269 603 01 4603 https://library.oapen.org/handle/20.500.12657/41269 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/41269 2403 01 DE-LFER https://library.oapen.org/bitstream/id/9c21318d-cc7e-4480-8fa2-77e1028ac870/9781466507524.pdf 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN |
allfieldsGer |
(DE-627)1836461895 (DE-599)KEP062200755 (OCoLC)1286387567 (OAPEN)41269 (EBP)062200755 DE-627 eng DE-627 rda eng PBT bicssc Yang, Yang verfasserin aut Age-Period-Cohort Analysis New Models, Methods, and Empirical Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Probability & statistics Probability and statistics Land, Kenneth C. oth https://library.oapen.org/bitstream/id/9c21318d-cc7e-4480-8fa2-77e1028ac870/9781466507524.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41269 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119902 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671958 OLR-OAPEN f z 01-03-23 30 01 0104 4281032541 GBV-OAPEN z 01-03-23 31 01 0027 4280314659 z 01-03-23 34 01 3551 4278870183 OLR-OAPEN zi002 01-03-23 39 01 0547 4281223541 GBV-OAPEN ke 01-03-23 40 01 0007 4279938679 OLR-OAPEN xsn 01-03-23 63 01 3401 4281605193 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281855521 OLR-OAPEN z 01-03-23 70 01 0089 4280492956 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 427869279X OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 434321933X OLR-OAL Vervielfältigungen (z.B. 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(DE-627)1836461895 (DE-599)KEP062200755 (OCoLC)1286387567 (OAPEN)41269 (EBP)062200755 DE-627 eng DE-627 rda eng PBT bicssc Yang, Yang verfasserin aut Age-Period-Cohort Analysis New Models, Methods, and Empirical Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. 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Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Probability & statistics Probability and statistics Land, Kenneth C. oth https://library.oapen.org/bitstream/id/9c21318d-cc7e-4480-8fa2-77e1028ac870/9781466507524.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41269 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119902 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671958 OLR-OAPEN f z 01-03-23 30 01 0104 4281032541 GBV-OAPEN z 01-03-23 31 01 0027 4280314659 z 01-03-23 34 01 3551 4278870183 OLR-OAPEN zi002 01-03-23 39 01 0547 4281223541 GBV-OAPEN ke 01-03-23 40 01 0007 4279938679 OLR-OAPEN xsn 01-03-23 63 01 3401 4281605193 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281855521 OLR-OAPEN z 01-03-23 70 01 0089 4280492956 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 427869279X OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 434321933X OLR-OAL Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 24-06-23 110 01 3110 428140855X OLR-GBV-OAPEN Open Access z 01-03-23 136 01 3526 4279579741 OLR-OAPEN z 01-03-23 147 01 3528 4282053933 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. 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Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page |
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Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page |
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Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page |
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score |
7.014489 |