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Article: Logistic Growth Modeling with Markov Chain Monte Carlo Estimation
Title | Logistic Growth Modeling with Markov Chain Monte Carlo Estimation |
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Authors | |
Keywords | Growth modeling Latent growth modeling Nonlinear growth models Logistic functions Markov chain Monte Carlo Bayesian inference |
Issue Date | 2019 |
Publisher | Wayne State University, College of Education. The Journal's web site is located at http://www.jmasm.com/ |
Citation | Journal of Modern Applied Statistical Methods, 2019, v. 18 n. 1, article no. eP2997 How to Cite? |
Abstract | A new growth modeling approach is proposed to can fit inherently nonlinear (i.e., logistic) function without constraint nor reparameterization. A simulation study is employed to investigate the feasibility and performance of a Markov chain Monte Carlo method within Bayesian estimation framework to estimate a fully random version of a logistic growth curve model under manipulated conditions such as the number and timing of measurement occasions and sample sizes. |
Persistent Identifier | http://hdl.handle.net/10722/289300 |
ISSN | 2023 SCImago Journal Rankings: 0.174 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Choi, J | - |
dc.contributor.author | Chen, J | - |
dc.contributor.author | Harring, JR | - |
dc.date.accessioned | 2020-10-22T08:10:42Z | - |
dc.date.available | 2020-10-22T08:10:42Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Journal of Modern Applied Statistical Methods, 2019, v. 18 n. 1, article no. eP2997 | - |
dc.identifier.issn | 1538-9472 | - |
dc.identifier.uri | http://hdl.handle.net/10722/289300 | - |
dc.description.abstract | A new growth modeling approach is proposed to can fit inherently nonlinear (i.e., logistic) function without constraint nor reparameterization. A simulation study is employed to investigate the feasibility and performance of a Markov chain Monte Carlo method within Bayesian estimation framework to estimate a fully random version of a logistic growth curve model under manipulated conditions such as the number and timing of measurement occasions and sample sizes. | - |
dc.language | eng | - |
dc.publisher | Wayne State University, College of Education. The Journal's web site is located at http://www.jmasm.com/ | - |
dc.relation.ispartof | Journal of Modern Applied Statistical Methods | - |
dc.subject | Growth modeling | - |
dc.subject | Latent growth modeling | - |
dc.subject | Nonlinear growth models | - |
dc.subject | Logistic functions | - |
dc.subject | Markov chain Monte Carlo | - |
dc.subject | Bayesian inference | - |
dc.title | Logistic Growth Modeling with Markov Chain Monte Carlo Estimation | - |
dc.type | Article | - |
dc.identifier.email | Chen, J: jinsong@HKUCC-COM.hku.hk | - |
dc.identifier.authority | Chen, J=rp02740 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.22237/jmasm/1556669820 | - |
dc.identifier.scopus | eid_2-s2.0-85097161543 | - |
dc.identifier.hkuros | 316821 | - |
dc.identifier.volume | 18 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. eP2997 | - |
dc.identifier.epage | article no. eP2997 | - |
dc.identifier.isi | WOS:000605728200012 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1538-9472 | - |