Information Matrix of the Vector of Parameters of the Bivariate Inverse Gaussian Distribution. | ||||
The Egyptian Statistical Journal | ||||
Article 2, Volume 32, Issue 1, June 1988, Page 32-42 | ||||
Document Type: Original Article | ||||
DOI: 10.21608/esju.1988.316549 | ||||
View on SCiNiTO | ||||
Authors | ||||
Essam K. Al-Hussaini; Khalaf E. Ahmad; Hanim M. Moustafa | ||||
Abstract | ||||
In this paper the elements of Fisher information matrix of the five parameters of the bivariate Inverse Gaussian distribution are derived and computed. The bivariate extension of Simpson's rule is used in the computations of the essential integral on which the twenty five elements of the information matrix are based. | ||||
Keywords | ||||
Bivariate Inverse Gaussian Distribution; Information Matrix; Parameters; Simpson's Rule | ||||
Statistics Article View: 21 |
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