Abstract
The predictive distribution of ther-th order statistics is obtained for the future sample based on the original sample from Weibull distribution in the presence ofk outliers. Next, in the presence ofk outliers two sample case is considered where prediction can be on ther 2-th order statistics in the second sample based on ther 1-th order statistics in the first sample. Finally, extension top-sample case is made for a particular case of predicting minimum in thep-th sample based on minimum in earlier samples. An illustration is provided with simulated samples where minimum is actually predicted in one and two sample cases.
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Dixit, U.J. Bayesian approach to prediction in the presence of outliers for Weibull distribution. Metrika 41, 127–136 (1994). https://doi.org/10.1007/BF01895312
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DOI: https://doi.org/10.1007/BF01895312