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Ecological inference : = new methodological strategies /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Ecological inference :/ edited by Gary King, Ori Rosen, Martin A. Tanner.
Reminder of title:	new methodological strategies /
other author:	Tanner, Martin Abba,
Description:	1 online resource (x, 421 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Inference. -
Online resource:	https://doi.org/10.1017/CBO9780511510595
ISBN:	9780511510595 (ebook)

Ecological inference : = new methodological strategies /
Ecological inference :new methodological strategies /edited by Gary King, Ori Rosen, Martin A. Tanner. - 1 online resource (x, 421 pages) :digital, PDF file(s). - Analytical methods for social research. - 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.

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.

ISBN: 9780511510595 (ebook)Subjects--Topical Terms:

577585
Inference.

LC Class. No.: HA29 / .E27 2004

Dewey Class. No.: 300/.72/7

Ecological inference : = new methodological strategies /
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245 0 0 $a Ecological inference : $b new methodological strategies / $c edited by Gary King, Ori Rosen, Martin A. Tanner.
264 1 $a Cambridge : $b Cambridge University Press, $c 2004.
300 $a 1 online resource (x, 421 pages) : $b digital, PDF file(s).
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 0 $t Introduction : information in ecological inference : an introduction / $r Gary King, Ori Rosen and Martin A. Tanner -- $g 1. $t Prior and likelihood choices in the analysis of ecological data / $r Jonathan Wakefield -- $g 2. $t The information in aggregate data / $r David G. Steel, Eric J. Beth and Ray L. Chambers -- $g 3. $t Using ecological inference for contextual research / $r D. Stephen Voss -- $g 4. $t Extending King's ecological inference model to multiple elections using Markov chain Monte Carlo / $r Jeffrey B. Lewis -- $g 5. $t Ecological regression and ecological inference / $r Bernard Grofman and Samuel Merrill -- $g 6. $t Using prior information to aid ecological inference : a Bayesian approach / $r J. Kevin Corder and Christina Wolbrecht.
520 $a 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.
650 0 $a Inference. $3 577585
650 0 $a Political statistics. $3 1228726
650 0 $a Social sciences $x Statistical methods. $3 558812
700 1 $a Tanner, Martin Abba, $d 1957- $e editor. $3 1447267
700 1 $a Rosen, Ori, $e editor. $3 1447266
700 1 $a King, Gary, $d 1958- $e editor. $3 1447265
776 0 8 $i Print version: $z 9780521835138
830 0 $a Analytical methods for social research. $3 1440838
856 4 0 $u https://doi.org/10.1017/CBO9780511510595