Dependent random variables with a given marginal distribution
Jiří Anděl (1983)
Acta Universitatis Carolinae. Mathematica et Physica
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Jiří Anděl (1983)
Acta Universitatis Carolinae. Mathematica et Physica
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Agnieszka Jurlewicz
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Tomasz Odrzygóźdź (2016)
Colloquium Mathematicae
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We introduce a new random group model called the square model: we quotient a free group on n generators by a random set of relations, each of which is a reduced word of length 4. We prove that, just as in the Gromov model, for densities > 1/2 a random group in the square model is trivial with overwhelming probability and for densities < 1/2 a random group is hyperbolic with overwhelming probability. Moreover, we show that for densities d < 1/3 a random group in the square model...
Scott E. Grasman, Zaki Sari, Tewfik Sari (2007)
RAIRO - Operations Research
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Most systems are characterized by uncertainties that cause throughput to be highly variable, for example, many modern production processes and services are substantially affected by random yields. When yield is random, not only is the usable quantity uncertain, but the random yield reduces usable capacity and throughput in the system. For these reasons, strategies are needed that incorporate random yield. This paper presents the analysis of the newsvendor model with a general random...
Nadarajah, Saralees, Gupta, Arjun K. (2005)
International Journal of Mathematics and Mathematical Sciences
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Bosetto, Elena (1999)
Beiträge zur Algebra und Geometrie
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Saralees Nadarajah, B. M. Golam Kibria (2006)
Applicationes Mathematicae
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Burr distributions are some of the most versatile distributions in statistics. In this paper, a drought application is described by deriving the exact distributions of U = XY and W = X/(X+Y) when X and Y are independent Burr XII random variables. Drought data from the State of Nebraska are used.
Miroslav M. Ristić, Biljana Č. Popović (2000)
Publications de l'Institut Mathématique
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Nadarajah, Saralees (2005)
Journal of Applied Mathematics
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