Results 211 to 220 of about 6,296,385 (258)
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Bivariate Continuous Distribution
1979Bivariate 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, 1974Abstract 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, 1960Abstract 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, 1961Abstract 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, 1987This 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, 1974The 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, 1981A 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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Bulletin of the Malaysian Mathematical Sciences Society, 2020
M. A. Elgawad +3 more
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M. A. Elgawad +3 more
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A new bivariate binomial distribution
Statistics & Probability Letters, 2002zbMATH 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, 2020P. Y. Thomas, Jitto Jose
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