Dayar T.Fourneau, J. M.Pekergin, N.2016-02-082016-02-0820030399-05591290-3868http://hdl.handle.net/11693/24367We present a transformation for stochastic matrices and analyze the effects of using it in stochastic comparison with the strong stochastic (st) order. We show that unless the given stochastic matrix is row diagonally dominant, the transformed matrix provides better st bounds on the steady state probability distribution. © EDP Sciences 2003.EnglishMarkov ProcessesProbability DistributionsSt-orderStochastic OrderingBranch and Bound MethodMathematical TransformationsMatrix AlgebraProbability DistributionsStochastic (st) OrderStochastic OrderingTransformed MatrixMarkov ProcessesTransforming stochastic matrices for stochastic comparison with the st-orderArticle10.1051/ro:2003015