Nested Designs with AR Errors via MCMC
In this paper Markov Chain Monte Carlo algorithms(MCMC) are developed to facilitate the Bayesian analysis on nested designs when the error structure can be expressed as an autoregressive process of order one. Simulated and real data are also presented to confirm the efficiency and high accuracy of our work.
|Date of creation:||01 Oct 2007|
|Contact details of provider:|| Postal: Centre for Labour Market Policy Research (CAFO), School of Business and Economics, Linnaeus University, SE 351 95 Växjö, Sweden|
Phone: +46 470 70 87 64
Web page: http://lnu.se/research-groups/cafo?l=en
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