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ON A MARKOV PROCESS GENERATED BY NON-DECREASING LINEAR FUNCTIONS ON IR

Title
ON A MARKOV PROCESS GENERATED BY NON-DECREASING LINEAR FUNCTIONS ON IR
Authors
문온
Issue Date
1988
Department/Major
대학원 수학과
Keywords
NON-DECREASING LINEAR FUNCTIONSMARKOV PROCESSMathematics
Publisher
The Graduate School of Education at Ehwa Womans Univ.
Degree
Master
Abstract
In this thesis: we consider a discrete-time Markov process on R. The process is generated by selecting at each time, in an independent and stationary way, a non-decreasing linear function. Sufficient conditions for the existence of a unique limiting stationary distribution are given.;이 논문에서는 실수상에서의 이산·시 Markov 확률 과정을 생각하였다. 이 확률 과정은, 독립적이고 고정적인 방법으로, 각 시간에서 택해지는 선형 증가 함수에 의해 만들어진다. 유일한 점근적 정상분포가 존재하기 위한 충분조건이 주어진다.
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일반대학원 > 수학과 > Theses_Master
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