Abstract
Let P 1, P 2, …, P k be univarite distributions of the second order (i.e., having the finite second moments), and let F i(x i) be the cdf of P i, i = 1,…, k. Then Π(P1,…, P k) = Πk is the set of all k-variate distributions having the marginals P i. If all marginals P i are equal, P i = P 0, then we will use the denotation Π(P 0). If the common marginal P 0 is symmetrical, then the set will be denoted by Π(P*).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dall’Aglio, G. (1991) Frechet classes. The beginnings. In: Advances in Probability Distributions with Given Marginals.
Fréchet, M. (1951) Sur les tableaux de correlation dont les marges sont donnees, Ann. Univ. Lyon Sc. 4, 53–84.
Helemäe, H.-L., Tiit, E.-M. (1996) Multivariate Minimal Distributions. Transactions of the Estonian Academy of Sciences (accepted, to appear in 1996).
Hoeffding, W. (1940) Masstabinvariante korrelationstheorie, Schriften Math Inst. Univ. Berlin 5, 181–233.
Kemp, J. F. (1973) Advanced problem 5894, Am. Math Monthly, 80, p.83.
Kotz, S., Tiit, E.-M. (1942) Bounds in Multivariate Dependence. Acta et Commentationes Universitatis Tartuensis, 942, 35–45.
Tiit, E. (1986) Random vectors with given arbitrary marginals and given correlation matrix. Acta et Commentationes Universitatis Tartuensis, 733, 14–39.
Tiit, E.-M., Helemäe, H.-L.(1995) Negative Dependencies in Multivariate Statistics. Conference ‘Problems of Pure and Applied Mathematics’, Tallinn.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Tiit, EM., Helemäe, HL. (1997). Boundary Distributions with Fixed Marginals. In: Beneš, V., Štěpán, J. (eds) Distributions with given Marginals and Moment Problems. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5532-8_12
Download citation
DOI: https://doi.org/10.1007/978-94-011-5532-8_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6329-6
Online ISBN: 978-94-011-5532-8
eBook Packages: Springer Book Archive