In probability theory, the Markov–Krein theorem gives the best upper and lower bounds on the expected values of certain functions of a random variable where only the first moments of the random variable are known.[1][2][3][4] The result is named after Andrey Markov and Mark Krein.[5]
The theorem can be used to bound average response times in the M/G/k queueing system.[6]
^Karlin, S.; Studden, W. J. (1966). Tchebycheff Systems, with Applications in Analysis and Statistics. New York: Interscience. p. 82.
^Kreĭn, M. G. (1959). "The ideas of P. L. Čebyšev and A. A. Markov in the theory of limiting values of integrals and their further development". Amer. Math. Soc. Transl. 2 (12): 1–121. MR0113106.
^Gupta, V.; Osogami, T. (2011). "On Markov–Krein characterization of the mean waiting time in M/G/K and other queueing systems". Queueing Systems. 68 (3–4): 339. doi:10.1007/s11134-011-9248-8.