Subnational Population Estimates [electronic resource] / by David A. Swanson, Jeff Tayman.
Erişim Adresi
ISBN
9789048189540
Dil Kodu
İngilizce
Yer Numarası
DK/13783
Yazar
Basım Bildirimi
1st ed. 2012.
Yayın Bilgisi
Dordrecht : Springer Netherlands : Imprint: Springer, 2012.
Fiziksel Niteleme
XIV, 414 p. online resource.
Dizi
The Springer Series on Demographic Methods and Population Analysis, 2215-1990 ; 31
İçindekiler Notu
1: Introduction -- 2: Basic Concepts -- 3: Data Sources -- 4: Basic Measures -- 5: An Overview of Estimates Methods -- 6: Extrapolation Methods -- 7: Housing Unit Method -- 8: Regression Methods -- 9: Censal Ratio Methods -- 10: Component Methods -- 11: Sample Based Methods -- 12: Other Methods -- 13: Special Cases and Adjustments -- 14: Evaluating Estimates -- 15: Guidelines for Developing Estimates -- 16: De Facto Populations and Populations Impacted by Disasters.-17: Historical and Pre-historical Populations -- 18: Future Directions in Population Estimates -- Glossary.-A Demography Timeline Relevant to Population Estimates.
Özet, vb.
Providing a unified and comprehensive treatment of the theory and techniques of sub-national population estimation, this much-needed publication does more than collate disparate source material. It examines hitherto unexplored methodological links between differing types of estimation from both the demographic and sample-survey traditions and is a self-contained primer that combines academic rigor with a wealth of real-world examples that are useful models for demographers. Between censuses, which are expensive, administratively complex, and thus infrequent, demographers and government officials must estimate population using either demographic modeling techniques or statistical surveys that sample a fraction of residents. These estimates play a central role in vital decisions that range from funding allocations and rate-setting to education, health and housing provision. They also provide important data to companies undertaking market research. However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources—an issue this volume tackles head-on. Rapidly increasing population mobility is making inter-census estimation ever more important to strategic planners. This book will make the theory and techniques involved more accessible to anyone with an interest in developing or using population estimates. “With the publication of this volume, for the first time a book which is both a comprehensive and rigorous scholarly work as well as a user oriented and pragmatic methodological source has become available.” Steve Murdock, Rice University, Houston, TX, USA Steve Murdock, Rice University, Houston, TX, USA Steve Murdock, Rice University, Houston, TX, USA.
Konu
Demography.
Population.
Statistics .
Population and Demography.
Statistics.
Population.
Statistics .
Population and Demography.
Statistics.
Diğer Yazarlar
Kurum Adı
Eseri Alıntıla
Referansları kullanmadan önce gözden geçirmeniz ve varsa gerekli düzeltmeleri yapmanız önerilir.
Dijital Kaynak
MARC Görünümü
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490 1 |aThe Springer Series on Demographic Methods and Population Analysis,|x2215-1990 ;|v31
505 0 |a1: Introduction -- 2: Basic Concepts -- 3: Data Sources -- 4: Basic Measures -- 5: An Overview of Estimates Methods -- 6: Extrapolation Methods -- 7: Housing Unit Method -- 8: Regression Methods -- 9: Censal Ratio Methods -- 10: Component Methods -- 11: Sample Based Methods -- 12: Other Methods -- 13: Special Cases and Adjustments -- 14: Evaluating Estimates -- 15: Guidelines for Developing Estimates -- 16: De Facto Populations and Populations Impacted by Disasters.-17: Historical and Pre-historical Populations -- 18: Future Directions in Population Estimates -- Glossary.-A Demography Timeline Relevant to Population Estimates.
520 |aProviding a unified and comprehensive treatment of the theory and techniques of sub-national population estimation, this much-needed publication does more than collate disparate source material. It examines hitherto unexplored methodological links between differing types of estimation from both the demographic and sample-survey traditions and is a self-contained primer that combines academic rigor with a wealth of real-world examples that are useful models for demographers. Between censuses, which are expensive, administratively complex, and thus infrequent, demographers and government officials must estimate population using either demographic modeling techniques or statistical surveys that sample a fraction of residents. These estimates play a central role in vital decisions that range from funding allocations and rate-setting to education, health and housing provision. They also provide important data to companies undertaking market research. However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources—an issue this volume tackles head-on. Rapidly increasing population mobility is making inter-census estimation ever more important to strategic planners. This book will make the theory and techniques involved more accessible to anyone with an interest in developing or using population estimates. “With the publication of this volume, for the first time a book which is both a comprehensive and rigorous scholarly work as well as a user oriented and pragmatic methodological source has become available.” Steve Murdock, Rice University, Houston, TX, USA Steve Murdock, Rice University, Houston, TX, USA Steve Murdock, Rice University, Houston, TX, USA.
650 0|aDemography.
650 0|aPopulation.
650 0|aStatistics .
650 14|aPopulation and Demography.
650 24|aStatistics.
700 1 |aTayman, Jeff.|eauthor.|4aut|4http://id.loc.gov/vocabulary/relators/aut
710 2 |aSpringerLink (Online service)
773 0 |tSpringer Nature eBook
776 08|iPrinted edition:|z9789048189533
776 08|iPrinted edition:|z9789048189557
776 08|iPrinted edition:|z9789400797130
830 0|aThe Springer Series on Demographic Methods and Population Analysis,|x2215-1990 ;|v31
856 40|uhttps://doi.org/10.1007/978-90-481-8954-0
912 |aZDB-2-SHU
912 |aZDB-2-SXS
950 |aHumanities, Social Sciences and Law (SpringerNature-11648)
950 |aSocial Sciences (R0) (SpringerNature-43726)
001 812534
003 TR_AnAIT
005 20260130234208
007 cr nn 008mamaa
008 120522s2012 ne | s |||| 0|eng d
020 |a9789048189540|9978-90-481-8954-0
024 7 |a10.1007/978-90-481-8954-0|2doi
041 |aeng
049 |aTürk Tarih Kurumu Kütüphanesi
050 4|aHB848-3697
072 7|aJHBD|2bicssc
072 7|aSOC006000|2bisacsh
072 7|aJHBD|2thema
082 04|a304.6|223
090 |aDK/13783
100 1 |aSwanson, David A.|eauthor.|4aut|4http://id.loc.gov/vocabulary/relators/aut
245 10|aSubnational Population Estimates|h[electronic resource] /|cby David A. Swanson, Jeff Tayman.
250 |a1st ed. 2012.
264 1|aDordrecht :|bSpringer Netherlands :|bImprint: Springer,|c2012.
300 |aXIV, 414 p.|bonline resource.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
490 1 |aThe Springer Series on Demographic Methods and Population Analysis,|x2215-1990 ;|v31
505 0 |a1: Introduction -- 2: Basic Concepts -- 3: Data Sources -- 4: Basic Measures -- 5: An Overview of Estimates Methods -- 6: Extrapolation Methods -- 7: Housing Unit Method -- 8: Regression Methods -- 9: Censal Ratio Methods -- 10: Component Methods -- 11: Sample Based Methods -- 12: Other Methods -- 13: Special Cases and Adjustments -- 14: Evaluating Estimates -- 15: Guidelines for Developing Estimates -- 16: De Facto Populations and Populations Impacted by Disasters.-17: Historical and Pre-historical Populations -- 18: Future Directions in Population Estimates -- Glossary.-A Demography Timeline Relevant to Population Estimates.
520 |aProviding a unified and comprehensive treatment of the theory and techniques of sub-national population estimation, this much-needed publication does more than collate disparate source material. It examines hitherto unexplored methodological links between differing types of estimation from both the demographic and sample-survey traditions and is a self-contained primer that combines academic rigor with a wealth of real-world examples that are useful models for demographers. Between censuses, which are expensive, administratively complex, and thus infrequent, demographers and government officials must estimate population using either demographic modeling techniques or statistical surveys that sample a fraction of residents. These estimates play a central role in vital decisions that range from funding allocations and rate-setting to education, health and housing provision. They also provide important data to companies undertaking market research. However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources—an issue this volume tackles head-on. Rapidly increasing population mobility is making inter-census estimation ever more important to strategic planners. This book will make the theory and techniques involved more accessible to anyone with an interest in developing or using population estimates. “With the publication of this volume, for the first time a book which is both a comprehensive and rigorous scholarly work as well as a user oriented and pragmatic methodological source has become available.” Steve Murdock, Rice University, Houston, TX, USA Steve Murdock, Rice University, Houston, TX, USA Steve Murdock, Rice University, Houston, TX, USA.
650 0|aDemography.
650 0|aPopulation.
650 0|aStatistics .
650 14|aPopulation and Demography.
650 24|aStatistics.
700 1 |aTayman, Jeff.|eauthor.|4aut|4http://id.loc.gov/vocabulary/relators/aut
710 2 |aSpringerLink (Online service)
773 0 |tSpringer Nature eBook
776 08|iPrinted edition:|z9789048189533
776 08|iPrinted edition:|z9789048189557
776 08|iPrinted edition:|z9789400797130
830 0|aThe Springer Series on Demographic Methods and Population Analysis,|x2215-1990 ;|v31
856 40|uhttps://doi.org/10.1007/978-90-481-8954-0
912 |aZDB-2-SHU
912 |aZDB-2-SXS
950 |aHumanities, Social Sciences and Law (SpringerNature-11648)
950 |aSocial Sciences (R0) (SpringerNature-43726)
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