Abstract
Two basic ideas, that give rise to global dependence stochastic orders, are introduced and studied. The similarities and differences between the resulting global dependence orders, and the known common positive dependence orders, are discussed. Some desirable properties that global dependence orders may expected to satisfy are listed and checked. Three particular global dependence orders, that come up from the two general ideas, are studied in detail. It is shown, among other things, how these orders can be verified. Finally, some applications in auction theory, in reliability theory, and in economics, are described.
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References
Acerbi C, Tasche D (2002) On the coherence of expected shortfall. J Bank Financ 26:1487–1503
Ali SM, Silvey SD (1965a) Association between random variables and the dispersion of a Radon–Nikodym derivative. J R Stat Soc Ser B 27:100–107
Ali SM, Silvey SD (1965b) A further result about the relevance of the dispersion of a Radon–Nikodym derivative to the problem of measuring association. J R Stat Soc Ser B 27:108–110
Artzner P, Delbaen F, Eber J-M, Heath D (1999) Coherent measures of risk. Math Financ 9:203–228
Athey S, Haile P (2002) Identification of standard auction models. Econometrica 70:2107–2140
Avérous J, Genest C, Kochar SC (2005) On the dependence structure of order statistics. J Multivar Anal 94:159–171
Bäuerle N (1997) Inequalities for stochastic models via supermodular orderings. Commun Stat, Stoch Models 13:181–201
Belzunce F, Ruiz JM, Suárez-Llorens A (2008) On multivariate dispersion orderings based on the standard construction. Stat Probab Lett 78:271–281
Colangelo A, Scarsini M, Shaked M (2006) Some positive dependence stochastic orders. J Multivar Anal 97:46–78
Dabrowska D (1981) Regression-based orderings and measures of stochastic dependence. Statistics 12:317–325
Dabrowska D (1985) Descriptive parameters of location, Dispersion and stochastic dependence. Statistics 16:63–88
Denuit M (2010) Positive dependence of signals. J Appl Probab 47:893–897
Dolati A, Genest C, Kochar SC (2008) On the dependence between the extreme order statistics in the proportional hazards model. J Multivar Anal 99:777–786
Droste W, Wefelmeyer W (1985) A note on strong unimodality and dispersivity. J Appl Probab 22:235–239
Fagiuoli E, Pellerey F, Shaked M (1999) A characterization of the dilation order and its applications. Stat Pap 40:393–406
Fang Z, Joe H (1992) Further developments on some dependence orderings for continuous bivariate distributions. Ann Inst Stat Math 44:501–517
Ganuza J-J, Penalva JS (2010) Signal orderings based on dispersion and the supply of private information in auctions. Econometrica 78:1007–1030
Hickey RJ (1986) Concepts of dispersion in distributions: a comparative note. J Appl Prob 23:914–921
Hürlimann W (2000) On a classical portfolio problem: diversification, comparative static and other issues. In: AFIR colloquium, Tromsø, Norway, pp 347–365
Joe H (1985) An ordering of dependence for contingency tables. Linear Algebra Appl 70:89–103
Joe H (1987). Majorization, randomness and dependence for multivariate distributions. Ann Probab 15:1217–1225
Joe H (1997) Multivariate models and dependence concepts. Chapman and Hall, London
Kimeldorf G, Sampson AR (1987) Positive dependence orderings. Ann Inst Stat Math 39:113–128
Landsman ZM, Valdez EA (2003) Tail conditional expectations for elliptical distributions. N Am Actuar J 7:55–71
Marshall AW, Olkin I (2007) Life distributions. Springer, New York
Mizuno T (2006) A relation between positive dependence of signal and the variability of conditional expectation given signal. J Appl Probab 43:1181–1185
Muliere P, Petrone S (1992) Generalized Lorenz curve and monotone dependence orderings. Metron 50:19–38
Müller A, Stoyan D (2002) Comparison methods for stochastic models and risks. Wiley, New York
Nelsen RB (2006) An introduction to copulas, 2nd edn. Springer, New York
Scarsini M (1990) An ordering of dependence. In: Block HW, Sampson AR, Savits TH (eds) Topics in statistical dependence. IMS lecture notes-monograph series, vol 16. Hayward, CA, pp 403–414
Shaked M, Shanthikumar JG (1997) Supermodular stochastic orders and positive dependence of random vectors. J Multivar Anal 61:86–101
Shaked M, Shanthikumar JG (2007) Stochastic orders. Springer, New York
Siburg KF, Stoimenov PA (2009) Regression dependence. Technical report, Technische Universität Dortmund, Germany
Silvey SD (1964) On a measure of association. Ann Math Stat 35:1157–1166
Stuart A (1954). The correlation between variate values and ranks in samples from a continuous distribution. The Br J Stat Psychol 7:37–44
Yanagimoto T, Okamoto M (1969) Partial orderings of permutations and monotonicity of a rank correlation statistic. Ann Inst Stat Math 21:489–506
Yitzhaki S (2003) Gini’s mean difference: A superior measure of variability for non-normal distributions. Metron 61:285–316
Yitzhaki S, Olkin I (1991) Concentration indices and concentration curves. In: Mosler K, Scarsini M (eds) Stochastic orders and decision under risk. IMS lecture notes-monograph series, vol 19. Hayward, CA, pp 380–392
Yitzhaki S, Schechtman E (2005) The properties of the extended Gini measures of variability and inequality. Metron 63:401–433
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Shaked, M., Sordo, M.A. & Suárez-Llorens, A. Global Dependence Stochastic Orders. Methodol Comput Appl Probab 14, 617–648 (2012). https://doi.org/10.1007/s11009-011-9253-8
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DOI: https://doi.org/10.1007/s11009-011-9253-8
Keywords
- Positive dependence
- Convex order
- Dispersive order
- Increasing rearrangement
- Jensen’s inequality
- Auction theory
- Reliability theory
- Gini covariance
- Gini correlation
- Absolute concentration curve