Comparing random coefficient autoregressive model with and without autocorrelated errors by Bayesian analysis

dc.contributor.authorAutcha Araveeporn
dc.date.accessioned2025-07-21T05:57:25Z
dc.date.issued2016-10-25
dc.description.abstractWe proposed a Bayesian analysis for estimating an unknown parameter in a Random Coefficient Autoregressive (RCA) model and its AutoRegressive (AR) process errors. We called this model an RCA model with autocorrelated errors (RCA-AR). A Markov Chain M
dc.identifier.doi10.3233/sji-161034
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/6006
dc.subject.classificationStatistical Methods and Inference
dc.titleComparing random coefficient autoregressive model with and without autocorrelated errors by Bayesian analysis
dc.typeArticle

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