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Bivariate Normal Distribution

2009
In introductory statistics courses, one has to know why the (univariate) normal distribution is important—especially that the random variables that occur in many situations are approximately normally distributed and that it arises in theoretical work as an approximation to the distribution of many statistics, such as averages of independent random ...
N. Balakrishna, Chin Diew Lai
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Bivariate Exponential Distributions

Journal of the American Statistical Association, 1960
Abstract A bivariate distribution is not determined by the knowledge of the margins. Two bivariate distributions with exponential margins are analyzed and another is briefly mentioned. In the first distribution (2.1) the conditional expectation of one variable decreases to zero with increasing values of the other one.
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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.
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Bivariate short distributions

Communications in Statistics - Theory and Methods, 1986
On introduit deux generalisations de la distribution «courte» (Cresswell et Froggatt, 1963) au cas ...
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Bivariate Logistic Distributions

Journal of the American Statistical Association, 1961
Abstract The logistic distribution closely resembles the normal one. Both are symmetrical. Here two logistic bivariate distributions are studied. In both cases the curves of equal probability density are not ellipses, the regression curves are not linear and the conditional expectations are limited.
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Bivariate Distributions

1968
H. MULHOLLAND, C.R. JONES
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Generalized parton distributions

Physics Reports, 2003
Markus Diehl
exaly  

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