Results 211 to 220 of about 6,296,385 (258)
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Bivariate Continuous Distribution

1979
Bivariate continuous distributions are defined in Section 1, and change of variables problems are considered in Section 2. In Section 3, we prove some results which will be needed in deriving statistical methods for analyzing normally distributed measurements.
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A Bivariatet-Distribution with Applications

Journal of the American Statistical Association, 1974
Abstract A particular bivariate t-distribution is defined and investigated. Included is a discussion of how to compute probabilities for this distribution. Applications involve the construction of double sample tests for hypotheses pertaining to the mean of a normal distribution with unknown variance.
William G. Bulgren   +2 more
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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 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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Frank's family of bivariate distributions

Biometrika, 1987
This paper examines the properties of a new class of bivariate distributions whose members are stochastically ordered and likelihood ratio dependent. The proposed class can be used to construct bivariate families of distributions whose marginals are arbitrary and which include the Fréchet bounds as well as the distribution corresponding to independent ...
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A characterization of the bivariate normal distribution

Communications in Statistics, 1974
The following result is proved. Let X1 and X2 be identically distributed random varibles with zero means, unit variances and correlation coefficient ρ.
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Bivariate inverse gaussian distribution

Annals of the Institute of Statistical Mathematics, 1981
A bivariate inverse Gaussian (IG) density function is constructed. Relations of the bivariate IG distribution to the normal and χ2 distributions are established. The corresponding bivariate random walk (RW) density function is obtained. The properties and behaviour of bivariate IG distribution are studied for large parametric values.
Essam K. Al-Hussaini   +1 more
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Concomitants of Generalized Order Statistics from Huang–Kotz Farlie–Gumble–Morgenstern Bivariate Distribution: Some Information Measures

Bulletin of the Malaysian Mathematical Sciences Society, 2020
M. A. Elgawad   +3 more
semanticscholar   +1 more source

A new bivariate binomial distribution

Statistics & Probability Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Atanu Biswas, Jing-Shiang Hwang
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On Weibull–Burr impounded bivariate distribution

Japanese Journal of Statistics and Data Science, 2020
P. Y. Thomas, Jitto Jose
semanticscholar   +1 more source

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