Abstract. Starting from on a recently introduced Gaussian class bivariate Weibull stochastic model, the probability density and the cumulative distribution functions of the product (Z1 Z2) c and the ratio (Z1/Z2) c, when Z1 and Z2 are correlated Weibull random variables belonging to this class (c> 0), are derived in closed form. Moreover, using the inequality between arithmetic and geometric mean, a union upper bound for the distribution of the sum of two correlated Weibull variates Zc1 + Z c 2 is also presented. Special cases of our results are in agreement with previously published ones. The proposed analysis is useful in several scientific fields of engineering
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Determining distributions of the functions of random variables is a very important problem with a wi...
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After describing the main idea or the concomitants and the distributions involved in the study, some...
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The distribution of the linear combination of two chi-square variables is known if the variables are...
AbstractTwo important results for the joint probability density function of the Weibull distribution...
In this article, we study several properties such as marginal and condi-tional distributions, joint ...
This paper provides a new generalization of the complementary Weibull geometric distribution introdu...
The main purpose in this discussion is to find the distribution function of the sum of independent a...
Recently, a proposal for simulating correlated discrete Weibull variables has been suggested, based ...
This paper provides a new generalization of the complementary Weibull geometric distribution th...
Bivariate chi-square distribution, Moments, Product of correlated chi-square variables, Ratio of cor...
Determining distributions of the functions of random variables is a very important problem with a wi...
Abstract. In this paper, some of the most important statistical properties concern-ing the product a...
After describing the main idea or the concomitants and the distributions involved in the study, some...
In this paper we have studied the distribution of r–th concomitant and joint distribution of r–t...
In this paper, we derive the cumulative distribution functions (CDF) and probability density functio...
Two important results for the joint probability density function of the Weibull distribution are der...
Abstract — Ascertaining on the suitability of the Weibull model to describe fading channels, a theor...
The distribution of the linear combination of two chi-square variables is known if the variables are...
AbstractTwo important results for the joint probability density function of the Weibull distribution...
In this article, we study several properties such as marginal and condi-tional distributions, joint ...
This paper provides a new generalization of the complementary Weibull geometric distribution introdu...
The main purpose in this discussion is to find the distribution function of the sum of independent a...
Recently, a proposal for simulating correlated discrete Weibull variables has been suggested, based ...
This paper provides a new generalization of the complementary Weibull geometric distribution th...
Bivariate chi-square distribution, Moments, Product of correlated chi-square variables, Ratio of cor...
Determining distributions of the functions of random variables is a very important problem with a wi...