The Proof for Probable Models with Renewable Time and the Calculating Theorems of Without Deviation
Chang Zhang · Shuxue de shijian yu renshi · 2003
In this paper presented utilization of the method of small parameters, in order to that inquire into probable estimate the question of sparse ineident in near neighbor two renewal times in Markov Chain. And built three types better vital probable models with renewable time. And through the introduction of the small parameters and the unfold of power for the probable formulas, and then a model estimation-mothod of gradual spread coefficient with form of power is proved. And also proved important theorems about estimate of without deviation. And the probable calculated formulas and the estimate precision of without deviation are given. And some algorithms extend to the arbirary space of a state.