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dc.contributor.advisorKingston, Neal M
dc.contributor.advisorKoch, Paul D
dc.contributor.authorGu, Fei
dc.date.accessioned2014-09-24T23:42:04Z
dc.date.available2014-09-24T23:42:04Z
dc.date.issued2013-05-31
dc.date.submitted2013
dc.identifier.otherhttp://dissertations.umi.com/ku:12638
dc.identifier.urihttp://hdl.handle.net/1808/15100
dc.description.abstractIn this work, two types of bootstrap methods are used to evaluate the absolute goodness-of-fit for the linear state space model. The first bootstrap is called parametric bootstrap, and the second one is called the residual-based bootstrap. The results from the two bootstrap methods are similar, but both bootstrap methods failed to detect the model misspecification introduced for the state space model considered.
dc.format.extent35 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectQuantitative psychology
dc.subjectPsychometrics
dc.titleUsing Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space Model
dc.typeDissertation
dc.contributor.cmtememberSkorupski, William P
dc.contributor.cmtememberFrey, Bruce B
dc.contributor.cmtememberDeboeck, Pascal R
dc.thesis.degreeDisciplinePsychology & Research in Education
dc.thesis.degreeLevelPh.D.
dc.identifier.orcidhttps://orcid.org/0000-0002-1753-8398
kusw.bibid8085974
dc.rights.accessrightsopenAccess


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