dc.contributor.advisor | Kingston, Neal M | |
dc.contributor.advisor | Koch, Paul D | |
dc.contributor.author | Gu, Fei | |
dc.date.accessioned | 2014-09-24T23:42:04Z | |
dc.date.available | 2014-09-24T23:42:04Z | |
dc.date.issued | 2013-05-31 | |
dc.date.submitted | 2013 | |
dc.identifier.other | http://dissertations.umi.com/ku:12638 | |
dc.identifier.uri | http://hdl.handle.net/1808/15100 | |
dc.description.abstract | In 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.extent | 35 pages | |
dc.language.iso | en | |
dc.publisher | University of Kansas | |
dc.rights | This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author. | |
dc.subject | Quantitative psychology | |
dc.subject | Psychometrics | |
dc.title | Using Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space Model | |
dc.type | Dissertation | |
dc.contributor.cmtemember | Skorupski, William P | |
dc.contributor.cmtemember | Frey, Bruce B | |
dc.contributor.cmtemember | Deboeck, Pascal R | |
dc.thesis.degreeDiscipline | Psychology & Research in Education | |
dc.thesis.degreeLevel | Ph.D. | |
dc.identifier.orcid | https://orcid.org/0000-0002-1753-8398 | |
kusw.bibid | 8085974 | |
dc.rights.accessrights | openAccess | |