Some Theoretical Properties of the Geometric and α-Series Processes

Abstract The geometric process has been proposed as a simple model for use in reliability. Recently, the α-series process was proposed as a complementary model which can be used in situations where the geometric process is inappropriate. In this article, we show that the increasing geometric process grows at most logarithmically in time while the decreasing geometric process is almost certain to have a time of explosion. The α-series process grows either as a polynomial in time or exponentially in time. We also show that, unlike most renewal processes, the geometric process does not satisfy a central limit theorem, while the α-series process does.

[1]  Yeh Lam,et al.  Some Limit Theorems in Geometric Processes , 2003 .

[2]  Tai-Ping Liu,et al.  Entropy Production and Admissibility of Shocks , 2003 .

[3]  Yiqiang Q. Zhao,et al.  Properties of the geometric and related processes , 2005 .

[4]  Kartikeya S. Puranam,et al.  A note on the optimal replacement problem , 2006 .

[5]  Y. Lam,et al.  Analysis of a two-component series system with a geometric process model , 1996 .

[6]  Lin Ye Geometric processes and replacement problem , 1988 .

[7]  L. Yeh Nonparametric inference for geometric processes , 1992 .

[8]  L. Yeh A note on the optimal replacement problem , 1988, Advances in Applied Probability.

[9]  Sheldon M. Ross,et al.  Stochastic Processes , 2018, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics.

[10]  N E Manos,et al.  Stochastic Models , 1960, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..