Ecological inference: new methodological strategies
Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one o...
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Weitere beteiligte Personen: | , , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge
Cambridge University Press
2004
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Schriftenreihe: | Analytical methods for social research
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Schlagwörter: | |
Links: | https://doi.org/10.1017/CBO9780511510595 https://doi.org/10.1017/CBO9780511510595 https://doi.org/10.1017/CBO9780511510595 https://doi.org/10.1017/CBO9780511510595 |
Zusammenfassung: | Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays, first published in 2004, offers many important contributions to the study of ecological inference |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Umfang: | 1 online resource (x, 421 pages) |
ISBN: | 9780511510595 |
DOI: | 10.1017/CBO9780511510595 |
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Datensatz im Suchindex
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any_adam_object | |
author2 | King, Gary 1958- Rosen, Ori Tanner, Martin Abba 1957- |
author2_role | edt edt edt |
author2_variant | g k gk o r or m a t ma mat |
author_additional | Gary King, Ori Rosen and Martin A. Tanner Jonathan Wakefield David G. Steel, Eric J. Beth and Ray L. Chambers D. Stephen Voss Jeffrey B. Lewis Bernard Grofman and Samuel Merrill J. Kevin Corder and Christina Wolbrecht |
author_facet | King, Gary 1958- Rosen, Ori Tanner, Martin Abba 1957- |
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contents | Introduction : information in ecological inference : an introduction Prior and likelihood choices in the analysis of ecological data The information in aggregate data Using ecological inference for contextual research Extending King's ecological inference model to multiple elections using Markov chain Monte Carlo Ecological regression and ecological inference Using prior information to aid ecological inference : a Bayesian approach |
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dewey-ones | 300 - Social sciences |
dewey-raw | 300/.72/7 |
dewey-search | 300/.72/7 |
dewey-sort | 3300 272 17 |
dewey-tens | 300 - Social sciences |
discipline | Soziologie Wirtschaftswissenschaften |
doi_str_mv | 10.1017/CBO9780511510595 |
format | Electronic eBook |
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spelling | Ecological inference new methodological strategies edited by Gary King, Ori Rosen, Martin A. Tanner Cambridge Cambridge University Press 2004 1 online resource (x, 421 pages) txt rdacontent c rdamedia cr rdacarrier Analytical methods for social research Title from publisher's bibliographic system (viewed on 05 Oct 2015) Introduction : information in ecological inference : an introduction Gary King, Ori Rosen and Martin A. Tanner 1 Prior and likelihood choices in the analysis of ecological data Jonathan Wakefield 2 The information in aggregate data David G. Steel, Eric J. Beth and Ray L. Chambers 3 Using ecological inference for contextual research D. Stephen Voss 4 Extending King's ecological inference model to multiple elections using Markov chain Monte Carlo Jeffrey B. Lewis 5 Ecological regression and ecological inference Bernard Grofman and Samuel Merrill 6 Using prior information to aid ecological inference : a Bayesian approach J. Kevin Corder and Christina Wolbrecht Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays, first published in 2004, offers many important contributions to the study of ecological inference Sozialwissenschaften Social sciences / Statistical methods Political statistics Inference Umweltschutz (DE-588)4061644-7 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Ökologie (DE-588)4043207-5 gnd rswk-swf Statistische Schlussweise (DE-588)4182963-3 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Umweltschutz (DE-588)4061644-7 s Statistik (DE-588)4056995-0 s 2\p DE-604 Ökologie (DE-588)4043207-5 s Statistische Schlussweise (DE-588)4182963-3 s 3\p DE-604 King, Gary 1958- edt Rosen, Ori edt Tanner, Martin Abba 1957- edt Erscheint auch als Druckausgabe 978-0-521-54280-7 Erscheint auch als Druckausgabe 978-0-521-83513-8 https://doi.org/10.1017/CBO9780511510595 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Ecological inference new methodological strategies Introduction : information in ecological inference : an introduction Prior and likelihood choices in the analysis of ecological data The information in aggregate data Using ecological inference for contextual research Extending King's ecological inference model to multiple elections using Markov chain Monte Carlo Ecological regression and ecological inference Using prior information to aid ecological inference : a Bayesian approach Sozialwissenschaften Social sciences / Statistical methods Political statistics Inference Umweltschutz (DE-588)4061644-7 gnd Statistik (DE-588)4056995-0 gnd Ökologie (DE-588)4043207-5 gnd Statistische Schlussweise (DE-588)4182963-3 gnd |
subject_GND | (DE-588)4061644-7 (DE-588)4056995-0 (DE-588)4043207-5 (DE-588)4182963-3 (DE-588)4143413-4 |
title | Ecological inference new methodological strategies |
title_alt | Introduction : information in ecological inference : an introduction Prior and likelihood choices in the analysis of ecological data The information in aggregate data Using ecological inference for contextual research Extending King's ecological inference model to multiple elections using Markov chain Monte Carlo Ecological regression and ecological inference Using prior information to aid ecological inference : a Bayesian approach |
title_auth | Ecological inference new methodological strategies |
title_exact_search | Ecological inference new methodological strategies |
title_full | Ecological inference new methodological strategies edited by Gary King, Ori Rosen, Martin A. Tanner |
title_fullStr | Ecological inference new methodological strategies edited by Gary King, Ori Rosen, Martin A. Tanner |
title_full_unstemmed | Ecological inference new methodological strategies edited by Gary King, Ori Rosen, Martin A. Tanner |
title_short | Ecological inference |
title_sort | ecological inference new methodological strategies |
title_sub | new methodological strategies |
topic | Sozialwissenschaften Social sciences / Statistical methods Political statistics Inference Umweltschutz (DE-588)4061644-7 gnd Statistik (DE-588)4056995-0 gnd Ökologie (DE-588)4043207-5 gnd Statistische Schlussweise (DE-588)4182963-3 gnd |
topic_facet | Sozialwissenschaften Social sciences / Statistical methods Political statistics Inference Umweltschutz Statistik Ökologie Statistische Schlussweise Aufsatzsammlung |
url | https://doi.org/10.1017/CBO9780511510595 |
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