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Ecological Inference

Ecological Inference

Ecological Inference Hardback - 2004

by Gary King (Editor); Ori Rosen (Editor); Martin A. Tanner (Editor)

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Hardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The last decade and a half has witnessed an explosion of research in ecological inference, the process of trying to infer individual behavior from aggregate data. This book, first published in 2004, brings together a diverse group of sc
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Details

  • Title Ecological Inference
  • Author Gary King (Editor); Ori Rosen (Editor); Martin A. Tanner (Editor)
  • Binding Hardback
  • Edition N/A
  • Condition New
  • Pages 432
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2004-09-27
  • Features Bibliography, Index, Maps
  • Bookseller's Inventory # ria9780521835138_inp
  • ISBN 9780521835138 / 0521835135
  • Weight 1.98 lbs (0.90 kg)
  • Dimensions 10 x 7.1 x 1.3 in (25.40 x 18.03 x 3.30 cm)
  • Category Politics / Current Events
  • Library of Congress subjects Social sciences - Statistical methods, Political statistics
  • Library of Congress Catalogue Number 2004045500
  • Dewey Decimal Code 300.727
  • Quantity available 188

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From the publisher

This collection of essays 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 process of trying to infer individual behavior from aggregate data. Although uncertainties and information lost in aggregation make ecological inference one of the most problematic types of research to rely on, these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, by business in marketing research, and by governments in policy analysis.

First line

A general statistical framework for ecological inference is presented, and a number of previously proposed approaches are described and critiqued within this framework.

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