Open Access
A random variable uniformly distributed between 2 independent random variables
Walter Van Assche
- 01 Jan 1987
- Vol. 49, pp 207-211
24
About: The article was published on 01 Jan 1987. and is currently open access. The article focuses on the topics: Sum of normally distributed random variables & Standard normal deviate.
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Citations
Exact Distribution of Random Weighted Convolution of Some Beta Distributions Through an Integral Transform
Rasool Roozegar,Abouzar Bazyari +1 more
TL;DR: In this article, the exact distribution of the average of n independent beta random variables was given, weighted by the selected cuts of (0, 1) by the order statistics of a random sample of size n−1======From the uniform distribution U(0; 1), for each n. A new integral transformation that is similar to generalized Stieltjes transform is given with various properties.
•Dissertation
From sojourn times and boundary crossings to iterated random functions
Shaun Antony McKinlay
- 01 Jan 2015
TL;DR: In this article, the authors extended the uniform law for sojourn times of processes with cyclically exchangeable increments to the case of random fields, with general parameter sets, that possess a suitable invariance property.
3
•Posted Content
Randomly Weighted Averages: A Multivariate Case
TL;DR: In this article, a generalization of some existing results with a simpler proof is presented, where the distribution of the random vectors and the joint distribution of their coefficients are Dirichlet.
2
Solving some stochastic differential equation using Dirichlet distributions
TL;DR: In this paper, the distribution of the random vectors and the joint distribution of their coefficients have Dirichlet distributions and a method is provided for calculating the distribution, which is the same as but from a different point of view.
1
A Random Variable Distributed between Two Random Variables Running title: A Random Variable Distributed between Two Random Variables
H. Homei,M. Ghayour,L. Hasanzadeh Kochaki +2 more
- 01 Jan 2012
TL;DR: In this paper, the distribution of the random variable Z and the arcsine distribution and Cauchy distribution can be characterized in a particular way by means of this construction, and it is shown that Z is a uniform or not uniformly distributed random variable.
1
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