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On some measures and distances for positive random variables

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  • M. S. Finkelstein

Abstract

A number of conventional measures of risk as real‐valued functions on the space of positive random variables are considered: the expected shortfall, the mean excess over the threshold, the stop‐loss and some others. Ordering of risks, based on these measures and the distances between corresponding distribution functions, are described. The perturbed measures, describing the effect of changing environment, are discussed. These measures are defined by the accelerated life and proportional hazards models widely used in reliability and survival analysis. The case of a random environment is of a prime interest in the paper. The main result states that if, for instance, the stochastic environment is ‘neutral in expectation’ with respect to the baseline one, the distance between the corresponding distribution functions can be still sufficiently large. Copyright © 2003 John Wiley & Sons, Ltd.

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  • M. S. Finkelstein, 2003. "On some measures and distances for positive random variables," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 19(2), pages 133-146, April.
    • Handle: RePEc:wly:apsmbi:v:19:y:2003:i:2:p:133-146
    DOI: 10.1002/asmb.491
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    Cited by:

    1. Maxim Finkelstein, 2005. "On stochastic comparisons of population age structures and life expectancies," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(6), pages 143-162.
    2. Finkelstein, Maxim, 2013. "On some comparisons of lifetimes for reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 300-304.

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