摘要：In this paper we introduce a Bayesian analysis of a spherical distributionapplied to rock joint orientation data in presence or not of a vectorof covariates, where the response variable is given by the angle from themean and the covariates are the components of the normal upwards vector.Standard simulation MCMC (Markov Chain Monte Carlo) methods havebeen used to obtain the posterior summaries of interest obtained from Win-Bugs software. Illustration of the proposed methodology are given using asimulated data set and a real rock spherical data set from a hydroelectricalsite.
