This paper considers the possible effects of making inferences about individuals from aggregate data. It assumes a knowledge of regression analysis, and explores the utility of techniques designed to make the inferences in causal modelling more reliable, including a comparison between ecological regression models and ecological correlation.
This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data?
King, R., Brooks, S. P., and Coulson, T. (2008), “Analyzing complex capture-recapture data in the presence of ... Leibold, M.A., Holyoak, M., Mouquet, N., Amarasekare, P., Chase, J. M., Hoopes, M. F., Holt, R. D., Shurin, J. B., Law, ...
Darroch, J. N. (1958). The multiple-recapture census. I. Estimation of a closed population. Biometrika 45, 343–359. Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm.
We argue for greater flexibility and offer in the chapters that follow several alternative ways to approach cross - level inference . These are by no means the last word . Some are relatively informal , others are approximations , still ...
Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and ...
An intermediate level text covering foundational ideas in statistics and their ecological application, including generalized linear and generalized mixed-effect models, as well as models allowing for mixtures, spatial or phylogenetic ...
What assumptions do these methods make about the nature of differences across groups? This book is addressed to social and behavioral researchers working with individual-level and grouped data.