Ecological inference : new methodological strategies / edited by Gary King, Ori Rosen, Martin A. Tanner.

Includes bibliographical references and index.

Print version record.

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.

"Ecological Inference: New Methodological Strategies brings together a diverse group of scholars to survey the latest strategies for solving ecological inference problems in various fields. The last half decade has witnessed an explosion of research in ecological inference - the attempt to infer individual behavior from aggregate data. The uncertainties and the information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but such inferences are required in many academic fields, as well as by legislatures and the courts in redistricting, by businesses in marketing research, and by governments in policy analysis."--Jacket

English.

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