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Majorization and Extremal PH Distributions

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Matrix-Analytic Methods in Stochastic Models

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 27))

Abstract

This chapter presents majorization results for PH generators. Based on the majorization results, bounds on the moments and Laplace–Stieltjes transforms of phase-type distributions are found. Exponential distributions and Coxian distributions are identified to be extremal PH distributions with respect to all the moments and Laplace–Stieltjes transforms for certain subsets of PH distributions.

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Acknowledgements

The authors would like to thank reviewers for their valuable comments and suggestions. The authors would also like to thank Mr. Zurun Xu for proofreading the paper.

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Correspondence to Qi-Ming He .

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He, QM., Zhang, H., Vera, J.C. (2013). Majorization and Extremal PH Distributions. In: Latouche, G., Ramaswami, V., Sethuraman, J., Sigman, K., Squillante, M., D. Yao, D. (eds) Matrix-Analytic Methods in Stochastic Models. Springer Proceedings in Mathematics & Statistics, vol 27. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4909-6_6

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