UID:
almafu_9959241474102883
Format:
1 online resource (x, 421 pages) :
,
illustrations, maps
ISBN:
1-107-16119-3
,
1-280-70218-4
,
0-511-23091-5
,
0-511-23168-7
,
0-511-22929-1
,
0-511-31681-X
,
0-511-51059-4
,
0-511-23013-3
Series Statement:
Analytical methods for social research
Content:
The last half-decade has witnessed an explosion of research in ecological inference, the process of trying to infer individual behavior from aggregate data. This book brings together a diverse group of scholars to survey the latest methodological strategies for solving ecological inference problems in various fields.
Note:
Cover; Half-title; Series-title; Title; Copyright; Contents; Contributors; Preface; INTRODUCTION; 1 Prior and Likelihood Choices in the Analysis of Ecological Data; 2 The Information in Aggregate Data; 3 Using Ecological Inference for Contextual Research; 4 Extending King's Ecological Inference Model to Multiple Elections Using Markov Chain Monte Carlo; 5 Ecological Regression and Ecological Inference; 6 Using Prior Information to Aid Ecological Inference: A Bayesian Approach; 7 An Information Theoretic Approach to Ecological Estimation and Inference
,
8 Ecological Panel Inference from Repeated Cross Sections; 9 Ecological Inference in the Presence of Temporal Dependence; 10 A Spatial View of the Ecological Inference Problem; 11 Places and Relationships in Ecological Inference; 12 Ecological Inference Incorporating Spatial Dependence; 13 A Common Framework for Ecological Inference in Epidemiology, Political Science, and Sociology; 14 Multiparty Split-Ticket Voting Estimation as an Ecological Inference Problem
,
15 A Structured Comparison of the Goodman Regression, the Truncated Normal, and the Binomial-Beta Hierarchical Methods for Ecological Inference; 16 A Comparison of the Numerical Properties of EI Methods; Index
,
English
Additional Edition:
ISBN 0-521-54280-4
Additional Edition:
ISBN 0-521-83513-5
Language:
English
URL:
Volltext
(lizenzpflichtig)
URL:
https://doi.org/10.1017/CBO9780511510595
URL:
https://doi.org/10.1017/CBO9780511510595
