Asymptotic Variances and Covariances of Maximum Likelihood Estimators of Parameters in the Inverse Gaussian Distribution, With Unknown Origin, from Censored Samples | ||||
| The Egyptian Statistical Journal | ||||
| Article 7, Volume 28, Issue 2, December 1984, Page 115-125 PDF (6.54 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/esju.1984.316606 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Mohamed Mahmoud | ||||
| Ain Shams University, Cairo, Egypt | ||||
| Abstract | ||||
| This paper gives the elements of the expected information matrices for complete, right censored, left censored or doubly censored samples from a three-parameter inverse Gaussian population. The variances and covariances of the maximum likelihood estimators can be obtained by inverting the expected information matrix. | ||||
| Keywords | ||||
| Asymptotic Variances; Censored Samples; Covariances; Expected Information Matrices; Inverse Gaussian Distribution; Maximum Likelihood Estimators | ||||
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