Associative Functions: Triangular Norms and Copulas by Claudi Alsina

By Claudi Alsina

The sensible equation of associativity is the subject of Abel's first contribution to Crelle's magazine. Seventy years later, it was once featured because the moment a part of Hilbert's 5th challenge, and it used to be solved lower than successively weaker hypotheses via Brouwer (1909), Cartan (1930) and Aczel (1949). In 1958, B Schweizer and A Sklar confirmed that the "triangular norms" brought by way of Menger in his definition of a probabilistic metric area will be associative; and of their booklet Probabilistic Metric areas, they provided the elemental homes of such triangular norms and the heavily similar copulas. on account that then, the examine of those periods of features has been evolving at an ever-increasing speed and the consequences were utilized in fields reminiscent of facts, details idea, fuzzy set conception, multi-valued and quantum common sense, hydrology, and economics, particularly, threat research. This booklet offers the rules of the topic of associative capabilities on actual periods. It brings jointly effects which were extensively scattered within the literature and provides a lot new fabric. within the procedure, almost all of the commonplace suggestions for fixing sensible equations in a single and several other variables come into play. hence, the publication can function a sophisticated undergraduate or graduate textual content on sensible equations.

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Extra info for Associative Functions: Triangular Norms and Copulas

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5, every associative quasi-copula is a copula. With the discovery of the new definition, the pace of research on quasicopulas quickened. A brief review of recent results is given in [Nelsen (2005)]. Here we only note that the set of 2-quasi-copulas is the DedekindMacNeille completion of the poset of 2-copulas [Nelsen and Ubeda-Flores, to appear]. Finally, we note that the set of copulas is convex. -H. Ling [1965] as a variant of the Abel-Aczel representation of strict t-norms ([Aczel (1949), (1966); Schweizer and Sklar (1963)]).

W), + w). -H. Shyu [1984]. Note that, in view of the t-norm boundary values, A = 1 is the strongest possible such condition. 15) and the derivative of a generator, a result which we state without proof. 10 Let T belong to TAT and let t be an inner additive generator of T. Suppose that the derivative of t exists and is negative on (0,1). 14) if and only if t'(y) > \t'{x) whenever x < y < 1. The probabilistic interpretation of copulas leads to many natural questions about their properties as joint distribution functions.

3 to higher dimensions, also due to A. 4. In the next theorem, we collect the key results which establish the role of copulas in the theory of probability and in mathematical statistics. For the sake of brevity, we restrict our attention to continuous distributions. Let X and Y be random variables, defined on a common probability space and taking values in M, with continuous distributions Fx, Fy and joint distribution HXY -, i-e-> Fx{u) = Pr{X

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