Likelihood-Based Inference for the Shape Parameter of a Two Parameter Weibull Distribution


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Abstract

Based on a Type 2 censored sample, we use the likelihood-based approach to draw likelihood inference on the shape parameter γ of a two-parameter Weibull distribution. In particular, we derive the profile, conditional and marginal likelihoods of γ. Numerical results along with some concluding remarks regarding the use of likelihood-based methods for inference are provided.

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