Abstract
Consider a system where units having random magnitude enter according to a nonhomogeneous Poisson process, stay for a random period of time, and then depart. While in the system, a unit's magnitude may change with time. Results are obtained for the strong limiting behavior of the distribution of magnitudes among units present in the system.
Similar content being viewed by others
REFERENCES
Anisimov, V. V. (1991). Limit theorems for evolving accumulation processes. Theor. Prob. Math. Statist. 43, 5–11.
Karlin, S., and Taylor, H. M. (1975). A First Course in Stochastic Processes, Academic Press, p. 128.
Rothmann, M. D., and El-Barmi, H. (1998). Stochastic processes involving random deletion, Technical Report II-98–6, Theory and Methods, Department of Statistics, Kansas State University.
Rothmann, M. D., and Russo, R. P. (1997a). A law of large numbers on randomly deleted sets. Ann. Appl. Prob. 7, 170–182.
Rothmann, M. D., and Russo, R. P. (1997b). On the limiting proportion of types. J. Theor. Prob. 10, 131–143.
Rothmann, M. D., and Russo, R. P. (1998). Some further results on the limiting proportion of types. Asymptotic Methods in Probability and Statistics, Elsevier.
Serfling, R. J. (1980). Approximation Theorems of Mathematical Statistics, John Wiley.
Uspensky, J. V. (1937). Introduction to Mathematical Probability, McGraw-Hill.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Rothmann, M.D., Russo, R.P. Laws of Large Numbers for Observations that Change with Time. Journal of Theoretical Probability 13, 1013–1025 (2000). https://doi.org/10.1023/A:1007814007981
Issue Date:
DOI: https://doi.org/10.1023/A:1007814007981