Results 221 to 230 of about 6,296,385 (258)

Bivariate Normal Distribution

2015
HE BIVARIATE NORMAL DISTRIBUTION helps us make the important leap from the univariate normal to the more general multivariate normal distribution. To accomplish this, we need to make the transition from the scalar univariate notation of the previous chapter to the matrix notation of the following chapter.
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Estimation for the Bivariate Poisson Distribution

Biometrika, 1964
This paper is concerned with the estimation of the covariance parameter of the bivariate Poisson distribution. It is shown that the method of moments has low efficiency for distributions with appreciable correlation, and an iterative method of solving the likelihood equation is described.
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The bivariate H-function distribution

Mathematics and Computers in Simulation, 1989
A general bivariate density defined in terms of a H-function of two variables is presented in this article along with its cumulative distribution, marginal densities and some properties. Some special cases leading to bivariate gamma and bivariate beta are illustrated with some contour plots.
J.W. Barnes, S.D. Kellogg
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Construction of Bivariate Distributions

2009
In this chapter, we review methods of constructing bivariate distributions. There is no satisfactory mathematical scheme for classifying the methods. Instead, we offer a classification that is based on loosely connected common structures, with the hope that a new bivariate distribution can be fitted into one of these schemes.
N. Balakrishna, Chin-Diew Lai
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Bivariate Weibull Distribution: Properties and Different Methods of Estimation

Annals of Data Science, 2020
E. Almetwally, H. Muhammed, E. A. El-Sherpieny   +2 more
semanticscholar   +1 more source

A New Bivariate Distribution with Rayleigh and Lindley Distributions as Marginals

, 2020
P. Yageen Thomas, Jitto Jose
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Bayesian and Non-Bayesian Estimation for the Bivariate Inverse Weibull Distribution Under Progressive Type-II Censoring

Annals of Data Science, 2020
H. Muhammed, E. Almetwally
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Bivariate Teissier Distributions

2017
We first give historical remarks about the forgotten univariate Teissier model. We introduce symmetric and asymmetric bivarite versions of the Teissier distribution and outline basic properties. The corresponding copula is obtained and applications are discussed.
Nikolai Kolev, Yang Ting Ju, Ngo Ngoc
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Probabilistic prediction of earthquake by bivariate distribution

, 2020
H. Dehghani, M. J. Fadaee
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Bivariate Discrete Distributions.

Biometrics, 1993
K. Kocherlakota, J. K. Ord, Subrahmaniam Kocherlakota   +2 more
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