Length biased Inverse Gaussian Hazard Rate Estimation A Predictive Density Approach

Date

2006-01-01

Author

Akman, Olcay
Kestel, Sevtap Ayşe

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We obtain a maximum likelihood predictive density estimate of an inverse Gaussian hazard rate under a length-biased sampling process. The efficiency of the estimate is examined and compared with that of the maximum likelihood estimate of the hazard rate. Kullback-Leibler similarity measures between the true density and its estimate under MLPD and MLE are calculated.

URI

https://hdl.handle.net/11511/81051

Journal

Advances and Applications in Statistics

Collections

Graduate School of Applied Mathematics, Article

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Citation Formats

O. Akman and S. A. Kestel, “Length biased Inverse Gaussian Hazard Rate Estimation A Predictive Density Approach,” Advances and Applications in Statistics, pp. 217–233, 2006, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/81051.