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Drawing upon the recent explosion of research in the field, a diverse group of scholars surveys the latest 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 offers many fresh and important contributions to the study of ecological inference.
Drawing upon the recent explosion of research in the field, a diverse group of scholars surveys the latest strategies for solving ecological inference problems,
This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researche
This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists,
Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. Th
Explores the utility of techniques designed to make the inferences in causal modeling more reliable, including a comparison between ecological regression models
