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dc.creatorCarroll, Glenn R
dc.creatorHannan, Michael T
dc.creatorTuma, Nancy Brandon
dc.creatorWarsavage, Barbara
dc.date.accessioned2015-08-16T00:45:02Z
dc.date.available2015-08-16T00:45:02Z
dc.date.issued2015-08-15
dc.identifier.urihttp://hdl.handle.net/1969.1/154806
dc.description.abstractThe authors compare alternative procedures for estimating parameters of event-history models: ordinary least squares, Kaplan-Meier least squares, maximum likelihood, and partial likelihood. They report results of simulations comparing maximum likelihood and partial likelihood estimators for small samples in terms of several potential sources of error. A related paper is Tuma, Hannan, and Groeneveld (1979).en
dc.language.isoen_US
dc.relation.ispartofseriesTechnical Report Stanford Sociology;#70
dc.rightsAttribution 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/
dc.subjectevent history modelsen
dc.titleAlternative Estimation Procedures for Event-History Analysis: A Monte Carlo Studyen
dc.typeTechnical Reporten
local.departmentSociologyen


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States