Results 201 to 210 of about 6,296,385 (258)

A bivariate beta distribution

Statistics & Probability Letters, 2003
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Ingram Olkin, Ruixue Liu
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Bivariate Gamma Distribution for Wavelength-Resolution SAR Change Detection

IEEE Transactions on Geoscience and Remote Sensing, 2019
A gamma probability density function (pdf) is shown to be an alternative to model the distribution of the magnitudes of high-resolution, i.e., wavelength-resolution, synthetic aperture radar (SAR) images.
V. Vu, N. R. Gomes, M. Pettersson, P. Dammert, H. Hellsten   +4 more
semanticscholar   +1 more source

Bivariate Distributions

1968
Publisher Summary This chapter discusses bivariate distributions, which are populations with two variates. The choice of the method of estimation is quite arbitrary, but in the chapter consideration is only given to the method of least squares. The method of least squares minimizes the sum of squares of the errors. If there are several combinations of
H. MULHOLLAND, C.R. JONES
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A generalized bivariate exponential distribution [PDF]

Journal of Applied Probability, 1967
In a previous paper (Marshall and Olkin (1966)) the authors have derived a multivariate exponential distribution from points of view designed to indicate the applicability of the distribution. Two of these derivations are based on “shock models” and one is based on the requirement that residual life is independent of age.
Ingram Olkin, Albert W. Marshall
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The Bivariate Normal Distribution

Probability Models and Applications, 2019
Let U and V be two independent normal random variables, and consider two new random variables X and Y of the form X = aU + bV, Y = cU + dV, where a, b, c, d, are some scalars.
D. Bertsekas, J. Tsitsiklis, The
semanticscholar   +1 more source

Regression to the mean for the bivariate binomial distribution

Statistics in Medicine, 2019
Regression to the mean (RTM) occurs when subjects having relatively high or low measurements are remeasured and found closer to the population mean. This phenomenon can potentially lead to an inaccurate conclusion in a pre‐post study design.
Manzoor Khan, J. Olivier
semanticscholar   +1 more source

A bivariate distribution in regeneration

Journal of Applied Probability, 1975
The joint distribution of the time since last exit, and the time until next entrance, into a unique boundary point is given in Formula (1) below. The boundary point may be replaced by a regenerative phenomenon.
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On the Distribution of the Bivariate Range

Technometrics, 1967
The distribution of the bivariate range R (defined below) is evidently unknown. This note discusses two approximations based on Monte Carlo moment data provided by the late S. S. Wilks. One approximation is based on an Edgeworth's series expansion and the other on a Chi-approximation. Upper bounds for the percentiles of R are discussed. Also given is a
T. Cacoullos, H. Decicco
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Uniform representations of bivariate distributions

Communications in Statistics, 1975
This paper explores the representation of bivariate distributions in terms of their bivariate uniform trsnslates. It is shown that this natural rapresentation in terms of bivariate distributions whose marginals are uniform allows us to study easily cartain properties of bivariate distributions.
George Kimeldori, Allan R. Sampson
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A Class of Bivariate Distributions

Journal of the American Statistical Association, 1965
Abstract By developing an analogy with the measure of association in a fourfold contingency table, a method is given of constructing a one-parameter class of bivariate distributions from given margins. This class contains the known boundary distributions and the member corresponding to independent random variables.
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