Abstract
Two basic ideas that give rise to global dependence stochastic orders were introduced and studied in Shaked et al. (Methodology and Computing in Applied Probability 14:617–648, 2012). Here these are reviewed, and two new ideas that give rise to new global dependence orders are then brought out and discussed. Two particular global dependence orders that come up from the two new general ideas are studied in detail. It is shown, among other things, how these orders can be identified and verified. In particular, conditions on the underlying copulas that yield these global dependence orders are given. The theory is illustrated by some examples. It is shown that some global dependence measures are preserved by the new global dependence orders. An application in reliability theory illustrates the usefulness of the new global dependence orders.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Ali, S. M. and Silvey, S. D.: Association between random variables and the dispersion of a Radon-Nikodym derivative. Journal of the Royal Statistical Society, Series B, 27, 100–107 (1965)
Ali, S. M. and Silvey, S. D.: A further result about the relevance of the dispersion of a Radon-Nikodym derivative to the problem of measuring association. Journal of the Royal Statistical Society, Series B, 27, 108–110 (1965)
Avérous, J., Genest, C., and Kochar, S. C.: On the dependence structure of order statistics. Journal of Multivariate Analysis, 94, 159–171 (2005)
Bäuerle, N.: Inequalities for stochastic models via supermodular orderings. Communications in Statistics-Stochastic Models, 13, 181–201 (1997)
Belzunce, F., Ruiz, J. M. and Suárez-Llorens, A.: On multivariate dispersion orderings based on the standard construction. Statistics and Probability Letters, 78, 271–281 (2008)
Colangelo, A., Scarsini, M. and Shaked, M.: Some positive dependence stochastic orders. Journal of Multivariate Analysis, 97, 46–78 (2006)
Dabrowska, D.: Regression-based orderings and measures of stochastic dependence. Statistics, 12, 317–325 (1981)
Dette, H., Siburg, K. F. and Stoimenov, P. A.: A copula-based non-parametric measure of regression dependence. Scandinavian Journal of Statistics, to appear (2012)
Dolati, A., Genest, C. and Kochar, S. C.: On the dependence between the extreme order statistics in the proportional hazards model. Journal of Multivariate Analysis, 99, 777–786 (2008)
Fagiuoli, E., Pellerey, F. and Shaked, M.: A characterization of the dilation order and its applications. Statistical Papers, 40, 393–406 (1999)
Fang, Z. and Joe, H.: Further developments on some dependence orderings for continuous bivariate distributions. Annals of the Institute of Statistical Mathematics, 44, 501–517 (1992)
Ganuza, J.-J. and Penalva, J. S.: Signal orderings based on dispersion and the supply of private information in auctions. Econometrica, 78, 1007–1030 (2010)
Joe, H.: An ordering of dependence for contingency tables. Linear Algebra and its Applications, 70, 89–103 (1985)
Joe, H.: Majorization, randomness and dependence for multivariate distributions. Annals of Probability, 15, 1217–1225 (1987)
Joe, H.: Multivariate Models and Dependence Concepts. Chapman and Hall, London (1997)
Kimeldorf, G. and Sampson, A. R.: Positive dependence orderings. Annals of the Institute of Statistical Mathematics, 39, 113–128 (1987)
Lehmann, E. L.: Some concepts of dependence. Annals of Mathematical Statistics, 37, 1137–1153 (1966)
Mizuno, T.: A relation between positive dependence of signal and the variability of conditional expectation given signal. Journal of Applied Probability, 43, 1181–1185 (2006)
Müller, A. and Stoyan, D.: Comparison Methods for Stochastic Models and Risks. Wiley, Chichester (2002)
Nelsen, R. B.: An Introduction to Copulas (2nd Edition). Springer (2006)
Rüschendorf, L. and de Valk, V.: On regression representations of stochastic processes. Stochastic Processes and their Applications, 46, 183–198 (1993)
Scarsini, M.: An ordering of dependence. Topics in Statistical Dependence (edited by Block, H. W., Sampson, A. R. and Savits, T. H.), IMS Lecture Notes-Monograph Series 16, Hayward, CA, 403–414 (1990)
Shaked, M. and Shanthikumar, J. G.: Supermodular stochastic orders and positive dependence of random vectors. Journal of Multivariate Analysis, 61, 86–101 (1997)
Shaked, M. and Shanthikumar, J. G.: Stochastic Orders. Springer, New York (2007)
Shaked, M., Sordo, M. A. and Suárez-Llorens, A.: Global dependence stochastic orders. Methodology and Computing in Applied Probability, 14, 617–648 (2012)
Silvey, S. D.: On a measure of association. Annals of Mathematical Statistics, 35, 1157–1166. (1964)
Wu, W. B. and Mielniczuk, J.: A new look at measuring dependence. Dependence in Probability and Statistics (Edited by Doukhan, P., Lang, G., Surgailis, D., and Teyssiere, G.). Springer, 123–142 (2010)
Yanagimoto, T. and Okamoto, M.: Partial orderings of permutations and monotonicity of a rank correlation statistic. Annals of the Institute of Statistical Mathematics, 21, 489–506 (1969)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Shaked, M., Sordo, M.A., Suárez-Llorens, A. (2013). A Global Dependence Stochastic Order Based on the Presence of Noise. In: Li, H., Li, X. (eds) Stochastic Orders in Reliability and Risk. Lecture Notes in Statistics(), vol 208. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6892-9_1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6892-9_1
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6891-2
Online ISBN: 978-1-4614-6892-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)