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.