Abstract
The maximum likelihood estimation for the critical points of the failure rate and the mean residual life function are presented in the case of mixture inverse Gaussian model. Several important data sets are analyzed from this point of view. For each of the data sets, Bootstrapping is used to construct confidence intervals of the critical points.
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Gupta, R.C., Akman, O. Estimation of critical points in the mixture inverse Gaussian model. Statistical Papers 38, 445–452 (1997). https://doi.org/10.1007/BF02925999
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DOI: https://doi.org/10.1007/BF02925999