bccp
Bias Correction under Censoring Plan
Developed for the following tasks. Simulating, computing maximum likelihood estimator, computing the Fisher information matrix, computing goodness-of-fit measures, and correcting bias of the ML estimator for a wide range of distributions fitted to units placed on progressive type-I interval censoring and progressive type-II censoring plans. The methods of Cox and Snell (1968) doi:10.1111/j.2517-6161.1968.tb00724.x and bootstrap method for computing the bias-corrected maximum likelihood estimator.
- Version0.5.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/18/2021
Team
Mahdi Teimouri
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- Imports1 package