Why Unified Statistics Theory by MCMC towards Estimation of Stationary Triple Probabilities of Any Markov Chain?
Journal Title: American journal of Engineering Research - Year 2017, Vol 6, Issue 6
Abstract
Unified statistics theory by MCMC is considered. A new proposed algorithm is presented to obtain surely empirical analysis conclusions in order to turn to surely theoretical analysis results about stationary triple probabilities of any genetic or clonal selection algorithm of any general too large dimensional deterministic and probabilistic (the grouping data, both continuous and discrete) linear or nonlinear programming problem in order to introduce a complete framework and to estimate stationary triple probabilities by the proposed algorithm towards the fifth resounding success of unified statistics theory by MCMC.
Authors and Affiliations
Dr. Usama H. , Abou El-Enien1
Keywords
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