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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References
Aldous, D., Shepp, L.: The least variable phase type distribution is Erlang. Stoch. Models 3, 467–473 (1987)
Asmussen, S., Nerman, O., Olsson, M.: Fitting phase-type distributions via the EM algorithm. Scand. J. Stat. 23, 419–441 (1996)
Bodrog, L., Heindl, A., Horvath, A., Horvath, G., Telek, M.: Current results and open questions on PH and MAP characterization. In: Dagstuhl Seminar Proceedings 07461 (D. Bini, B. Meini, V. Ramaswami, M-A Remiche, and P. Taylor, eds.). Numerical Methods for Structured Markov Chains, http://drops.dagstuhl.de/opus/volltexte/2008/1401. (2008)
Commault, C., Mocanu, S.: Phase-type distributions and representations: some results and open problems for system theory. Int. J. Control 76, 566–580 (2003)
He, Q.M., Zhang, H.Q.: A note on unicyclic representations of phase type distributions. Stoch. Models 21, 465–483 (2005)
He, Q.M., Zhang, H.Q.: Spectral polynomial algorithms for computing bi-diagonal representations for phase type distributions and matrix exponential distributions. Stoch. Models 22, 289–317 (2006)
He, Q.M., Zhang, H.Q., Vera, J.C.: On some properties of bivariate exponential distributions. Stoch. Models 28, 187–206 (2012)
Horvath, A., Telek, M.: PhFit: A general purpose phase type fitting tool. In: Tools 2002, pp. 82–91. LNCS, vol. 2324. Springer, London (2002)
Latouche, G., Ramaswami, V.: Introduction to Matrix Analytic Methods in Stochastic Modeling. SIAM, Philadelphia (1999)
Maier, R.S.: The algebraic construction of phase-type distributions. Stoch. Models 7, 573–602 (1991)
Marshall, A.W., Olkin, I.: Inequalities: Theory of Majorization and Its Applications. Academic, New York (1979)
Minc, H.: Non-Negative Matrices. Wiley, New York (1988)
Neuts, M.F.: Probability distrubutions of phase type. In: Liber Amicorum Professor Emeritus H. Florin, pp. 173–206. Department of Mathematics, University of Louvain, Belgium (1975)
Neuts, M.F.: Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach. Johns Hopkins University Press, Baltimore (1981)
O’Cinneide, C.A.: Characterization of phase-type distributions. Stoch. Models 6, 1–57 (1990)
O’Cinneide, C.A.: Phase-type distributions and majorization. Ann. Appl. Probab. 1, 219–227 (1991)
O’Cinneide, C.A.: Phase-type distributions: open problems and a few properties. Stoch. Models 15, 731–757 (1999)
Sangüesa, C.: On the minimal value in Maier’s property concerning phase-type distributions. Stoch. Models 26, 124–140 (2010)
Yao, R.H.: A proof of the steepest increase conjecture of a phase-type density. Stoch. Models 18, 1–6 (2002)
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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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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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DOI: https://doi.org/10.1007/978-1-4614-4909-6_6
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