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The Resource Ecological inference : new methodological strategies, edited by Gary King, Ori Rosen, Martin A. Tanner, (electronic resource)

Ecological inference : new methodological strategies, edited by Gary King, Ori Rosen, Martin A. Tanner, (electronic resource)

Editor
Contributor
Summary
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.--
Language
eng
Work
Publication
Extent
1 online resource (x, 421 pages)
Contents
  • 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.
  • Introduction : information in ecological inference : an introduction
  • Using prior information to aid ecological inference : a Bayesian approach
  • J. Kevin Corder and Christina Wolbrecht
  • 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
Isbn
9780521835138
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9780511510595
Instance
Label
Ecological inference : new methodological strategies
Title
Ecological inference
Title remainder
new methodological strategies
Statement of responsibility
edited by Gary King, Ori Rosen, Martin A. Tanner
Contributor
Editor
Subject
Language
eng
Summary
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.--
Member of
Assigning source
Provided by publisher
Cataloging source
UkCbUP
Index
index present
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorDate
  • 1958-
  • 1957-
http://library.link/vocab/relatedWorkOrContributorName
  • King, Gary
  • Rosen, Ori
  • Tanner, Martin Abba
Series statement
  • Analytical methods for social research
  • Cambridge Social Sciences eBooks
http://library.link/vocab/subjectName
  • Social sciences
  • Political statistics
  • Inference
Label
Ecological inference : new methodological strategies, edited by Gary King, Ori Rosen, Martin A. Tanner, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9780511510595
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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.
  • Introduction : information in ecological inference : an introduction
  • Using prior information to aid ecological inference : a Bayesian approach
  • J. Kevin Corder and Christina Wolbrecht
  • 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
Control code
CR9780511510595
Dimensions
unknown
Extent
1 online resource (x, 421 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9780521835138
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote
System control number
(OCoLC)76904618
Label
Ecological inference : new methodological strategies, edited by Gary King, Ori Rosen, Martin A. Tanner, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9780511510595
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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.
  • Introduction : information in ecological inference : an introduction
  • Using prior information to aid ecological inference : a Bayesian approach
  • J. Kevin Corder and Christina Wolbrecht
  • 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
Control code
CR9780511510595
Dimensions
unknown
Extent
1 online resource (x, 421 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9780521835138
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote
System control number
(OCoLC)76904618

Subject

Member of

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