- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Iterated bivariate rayleigh distribution | ||
| Albahir journal | ||
| Article 1, Volume 1, Issue 1, 2015, Pages 77-84 | ||
| Authors | ||
| Kareema Abed AL-Kadim; Afrah Sahim | ||
| Abstract | ||
| Abstract The Rayleigh distribution is one of the lifetime distributions and a special case from Weibull distribution. It has widely used in many fields in real life, finance, signal processing, and communications. Copulas are functions that join their one-dimensional marginal distribution functions which are uniform on the interval (0,1). The copula is an important tool for constructing families of bivariate distributions and it is measure of dependence between two variables since it allows us to separate the effect of dependence from the effects of the marginal distributions. In this paper, we derive iterated bivariate Rayleigh distribution using the concept of copula with discussion of some properties, like the cdf, pdf, conditional pdf's, conditional expectation, covariance and correlation coefficient. | ||
| Keywords | ||
| copulas; Rayleigh Distribution; bivariate distribution; conditional probability density function; conditional expectation; correlation coef | ||
|
Statistics Article View: 48 PDF Download: 27 |
||