Asymptotically Attainable Structures in Nonhomogeneous Markov Systems
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DOI: 10.1287/opre.38.3.537
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Cited by:
- P.-C. G. Vassiliou, 2020. "Laws of Large Numbers for Non-Homogeneous Markov Systems," Methodology and Computing in Applied Probability, Springer, vol. 22(4), pages 1631-1658, December.
- Brecht Verbeken & Marie-Anne Guerry, 2024. "Attainability for Markov and Semi-Markov Chains," Mathematics, MDPI, vol. 12(8), pages 1-14, April.
- Andreas C. Georgiou & Alexandra Papadopoulou & Pavlos Kolias & Haris Palikrousis & Evanthia Farmakioti, 2021. "On State Occupancies, First Passage Times and Duration in Non-Homogeneous Semi-Markov Chains," Mathematics, MDPI, vol. 9(15), pages 1-17, July.
- Tim De Feyter & Marie-Anne Guerry & Komarudin, 2017. "Optimizing cost-effectiveness in a stochastic Markov manpower planning system under control by recruitment," Annals of Operations Research, Springer, vol. 253(1), pages 117-131, June.
- Tsantas, N., 1995. "Stochastic analysis of a non-homogeneous Markov system," European Journal of Operational Research, Elsevier, vol. 85(3), pages 670-685, September.
- Georgiou, A. C., 1999. "Aspirations and priorities in a three phase approach of a nonhomogeneous Markov system," European Journal of Operational Research, Elsevier, vol. 116(3), pages 565-583, August.
- Georgiou, Andreas C. & Thanassoulis, Emmanuel & Papadopoulou, Alexandra, 2022. "Using data envelopment analysis in markovian decision making," European Journal of Operational Research, Elsevier, vol. 298(1), pages 276-292.
- P.-C.G. Vassiliou, 2021. "Non-Homogeneous Markov Set Systems," Mathematics, MDPI, vol. 9(5), pages 1-25, February.
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Keywords
organizational studies; manpower planning: asymptotic control of population systems; probability; Markov processes: nonhomogeneous Markov systems;All these keywords.
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