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Limit theorems for cumulative processes

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  • Glynn, Peter W.
  • Whitt, Ward

Abstract

Necessary and sufficient conditions are established for cumulative process (associated with regenerative processes) to obey several classical limit theorems; e.g., a strong law of large numbers, a law of the iterated logarithm and a functional central limit theorem. The key random variables are the integral of the regenerative process over one cycle and the supremum of the absolute value of this integral over all possible initial segments of a cycle. The tail behavior of the distribution of the second random variable determines whether the cumulative process obeys the same limit theorem as the partial sums of the cycle integrals. Interesting open problems are the necessary conditions for the weak law of large numbers and the ordinary central limit theorem.

Suggested Citation

  • Glynn, Peter W. & Whitt, Ward, 1993. "Limit theorems for cumulative processes," Stochastic Processes and their Applications, Elsevier, vol. 47(2), pages 299-314, September.
    • Handle: RePEc:eee:spapps:v:47:y:1993:i:2:p:299-314
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    Citations

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    Cited by:

    1. Jeffrey Kharoufeh & Steven Cox & Mark Oxley, 2013. "Reliability of manufacturing equipment in complex environments," Annals of Operations Research, Springer, vol. 209(1), pages 231-254, October.
    2. Sepehrifar, Mohammad B. & Khorshidian, Kavoos & Jamshidian, Ahmad R., 2015. "On renewal increasing mean residual life distributions: An age replacement model with hypothesis testing application," Statistics & Probability Letters, Elsevier, vol. 96(C), pages 117-122.
    3. Glynn, Peter W. & Whitt, Ward, 2002. "Necessary conditions in limit theorems for cumulative processes," Stochastic Processes and their Applications, Elsevier, vol. 98(2), pages 199-209, April.
    4. Jeffrey P. Kharoufeh & Dustin G. Mixon, 2009. "On a Markov‐modulated shock and wear process," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(6), pages 563-576, September.
    5. Dragan Radulović, 2004. "Renewal type bootstrap for Markov chains," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 13(1), pages 147-192, June.
    6. Cattiaux, Patrick & Colombani, Laetitia & Costa, Manon, 2023. "Asymptotic deviation bounds for cumulative processes," Stochastic Processes and their Applications, Elsevier, vol. 163(C), pages 85-105.
    7. Bashtova, Elena & Shashkin, Alexey, 2022. "Strong Gaussian approximation for cumulative processes," Stochastic Processes and their Applications, Elsevier, vol. 150(C), pages 1-18.
    8. Ohad Perry & Ward Whitt, 2013. "A Fluid Limit for an Overloaded X Model via a Stochastic Averaging Principle," Mathematics of Operations Research, INFORMS, vol. 38(2), pages 294-349, May.
    9. Pokalyuk, Cornelia & Mathew, Lisha A. & Metzler, Dirk & Pfaffelhuber, Peter, 2013. "Competing islands limit the rate of adaptation in structured populations," Theoretical Population Biology, Elsevier, vol. 90(C), pages 1-11.
    10. Ward Whitt, 2016. "Heavy-traffic fluid limits for periodic infinite-server queues," Queueing Systems: Theory and Applications, Springer, vol. 84(1), pages 111-143, October.

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