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Spatial Autocorrelation Models for Galton's Problem

dc.contributor.authorLoftin, Colinen_US
dc.contributor.authorWard, Sally K.en_US
dc.date.accessioned2010-04-13T20:13:19Z
dc.date.available2010-04-13T20:13:19Z
dc.date.issued1981en_US
dc.identifier.citationLoftin, Colin; Ward, Sally (1981). "Spatial Autocorrelation Models for Galton's Problem." Cross-Cultural Research 16(1-2): 105-141. <http://hdl.handle.net/2027.42/68209>en_US
dc.identifier.issn1069-3971en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/68209
dc.description.abstractThe effects of Galton's problem are discussed within a framework provided by the linear regression model. We examine five illustrative diffusion models and evaluate alternative estimation procedures (es pecially Naroll's linked pairs test and Wirsing's second order partial correlation). While no one procedure is adequate for all models, the specification of a diffusion model provides guidance in the selection of an appropriate estimation procedure.en_US
dc.format.extent3108 bytes
dc.format.extent1097060 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.publisherSage Publicationsen_US
dc.titleSpatial Autocorrelation Models for Galton's Problemen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelAnthropology and Archaeologyen_US
dc.subject.hlbsecondlevelSociologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Sociology and the Center for Researchon Social Organization at the University of Michiganen_US
dc.contributor.affiliationotherDepartment of Sociology and Anthropology at the University of New Hampshireen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/68209/2/10.1177_106939718101600106.pdf
dc.identifier.doi10.1177/106939718101600106en_US
dc.identifier.sourceCross-Cultural Researchen_US
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dc.identifier.citedreferenceRao, Potluri and Zvi Griliches. 1969 Small-Sample Properties of Several Two-Stage Regression Methods in the Context of Auto-Correlated Errors Journal of the American Statistical Association 64: 253-272.en_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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