The asymptotic joint distribution of the state occupancy times in an alternating renewal process

J. Angus
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Abstract

An alternating renewal process starts at time zero and visits states 1,2,…,r, 1,2, …,r 1,2, …,r, … in sucession. The time spent in state i during any cycle has cumulative distribution function Fi, and the sojourn times in each state are mutually independent, positive and nondegenerate random variables. In the fixed time interval [0,T], let Ui(T) denote the total amount of time spent in state i. In this note, a central limit theorem is proved for the random vector (Ui(T), 1 ≤ i ≤ r) (properly normed and centered) as T → ∞.
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交替更新过程中状态占用时间的渐近联合分布
交替更新过程从时间0开始,依次访问状态1,2,…,r, 1,2,…,r 1,2,…,r,…。任意周期内状态i的停留时间具有累积分布函数Fi,每个状态的停留时间是相互独立的、正的、非退化的随机变量。在固定的时间区间[0,T]中,设Ui(T)表示状态i所花费的总时间。本文证明了随机向量(Ui(T), 1≤i≤r)(适当赋范并居中)为T→∞时的中心极限定理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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