Titlebook: Markov Chain Models — Rarity and Exponentiality; Julian Keilson Book 1979 Springer-Verlag New York Inc. 1979 Markov.Markov chain.Markowsch

冥想后

expansive

Potential Theory, Replacement, and Compensation, time is . p(t) dt where p(t) is the transition matrix.. These potentials appear as entities in the answers to many-important questions associated with a particular chain, ergocic or transient. For example, certain replacement processes N. (t) arise from a chain N(t) when samples reaching a bad set

單挑

萬(wàn)靈丹

Passage Times and Exit Times for More General Chains,congestion in networks via general Markov chain models, one must partition the state space into two sets, G and B say, and study the transfer between them. Two techniques available are examined. The first employs uniformization to exhibit explicitly the mean time from states of G to the set B and hi

fulcrum

The Fundamental Matrix, and Allied Topics, and variance of the passage time for the Markov chain N(t) from a state to a set B. When the entry set B. is much smaller than B, the rank of the problem reduces to that of B. provided that the transition probabilities p.(t) are known. In such calculations there is a fundamental matrix Z, the anolo