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In this paper, we study the transition matrix ofM/G/1 type. The radius of conver-gence is discussed, conditions on the α-classification of the states are obtained, and expressions of the β-invariant measure are constructed. The censoring technique is generalized to deal with nonnegative matrices, which may be neither stochastic nor substochastic. This allows us to prove a factorization result for the discounted transition matrix. This factorization provides a unified algorithmic approach for expressing the β-invariant measure for transition matrices with a block-structure, including the matrix of M/G/1 type.
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