Exact distribution of the sum of two correlated chi-square variables and its application
| dc.contributor.author | Anwar H. Joarder | |
| dc.contributor.author | M. Hafidz Omar | |
| dc.date.accessioned | 2026-09-30T06:58:52Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | The exact distribution of the sum of two chi-square random variables is known if the variables are independent. We derive the exact distribution of the sum of two correlated chi-square variables when they are correlated through a bivariate chi-square distribution. The distribution is important in estimating the common variance of a bivariate normal population. Some properties of the distribution, namely, the characteristic function, cumulative distribution function, raw moments, mean centered moments, coefficient of skewers and kurtosis are derived. The graph of the density function is also presented. | |
| dc.identifier.uri | https://repository.ulab.edu.bd/handle/123456789/1214 | |
| dc.language.iso | en | |
| dc.publisher | King Fahd University of Petroleum & Minerals | |
| dc.subject | Bivariate chi-square distribution | |
| dc.subject | characteristic function | |
| dc.subject | correlated chi-square variables | |
| dc.subject | cumulative distribution function | |
| dc.subject | sum of correlated chi-square variables. | |
| dc.title | Exact distribution of the sum of two correlated chi-square variables and its application | |
| dc.type | Article |
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