Bayesian Estimation for the Exponentiated Weibull Model via Markov Chain Monte Carlo Simulation

By Jaheen Zeinhum  

Communications in Statistics: Simulation and Computation, Vol. 40, Iss. 4, 2011-04 ,pp. : 532-543

Taylor & Francis Ltd

Access to resources Recommend Favorite

Markov chain Monte Carlo methods for parameter estimation of the modified Weibull distribution

By Jiang H.   Xie M.   Tang L. C.  

Journal of Applied Statistics, Vol. 35, Iss. 6, 2008-06 ,pp. : 647-658

Taylor & Francis Ltd

Access to resources Recommend Favorite

Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted g priors and reversible jump Markov chain Monte Carlo implementation

By Liu Wei   Zhang Bo   Zhang Zhiwei   Tao Jian   Branscum Adam J.  

Journal of Statistical Computation and Simulation, Vol. 85, Iss. 12, 2015-08 ,pp. : 2456-2478

Taylor & Francis Ltd

Access to resources Recommend Favorite

Bayesian model selection and parameter estimation for possibly asymmetric and non-stationary time series using a reversible jump Markov chain Monte Carlo approach

By Oh M-S.   Shin D.W.  

Journal of Applied Statistics, Vol. 29, Iss. 5, 2002-07 ,pp. : 771-789

Taylor & Francis Ltd

Access to resources Recommend Favorite

Markov Chain Monte Carlo in small worlds

By Guan Yongtao   Fleißner Roland   Joyce Paul   Krone Stephen  

Statistics and Computing, Vol. 16, Iss. 2, 2006-06 ,pp. : 193-202

Springer Publishing Company

Access to resources Recommend Favorite