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Bivariate distributions with pareto conditionals

Statistics & Probability Letters, 1987
For a fixed \(\alpha >0\), the totality of bivariate densities with all conditionals being of the Pareto (\(\alpha)\) form is identified. The resulting family is of the form \[ f(x,y)\propto [1+\lambda_ 1x+\lambda_ 2y+\phi \lambda_ 1\lambda_ 2xy]^{-(\alpha +1)} \] for suitable choices of \(\lambda_ 1\), \(\lambda_ 2\) and \(\phi\).
openaire   +2 more sources

Bivariate distribution of shear strength parameters using copulas and its impact on geotechnical system reliability

, 2015
Dianqing Li   +6 more
semanticscholar   +1 more source

Bivariate Continuous Distributions

2015
This chapter lists a small number of bivariate distributions whose parameters can easily be estimated by IRLS. A handful of a special type of bivariate distribution, called copulas, are also implemented. Some special consideration is given to the bivariate normal distribution and Plackett’s bivariate distribution.
openaire   +2 more sources

A new bivariate distribution with Gompertz marginals

, 2013
E. A. El-Sherpieny   +2 more
semanticscholar   +1 more source

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