Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data

@inproceedings{Chiang2018ModelSA,
  title={Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data},
  author={Jyun-You Chiang and Shuai Wang and Tzong-Ru Tsai and Ting Li},
  year={2018}
}
This paper studies a discriminant problem of location-scale family in case of prediction from type II censored samples. Three model selection approaches and two types of predictors are, respectively, proposed to predict the future order statistics from censored data when the best underlying distribution is not clear with several candidates. Two members in the location-scale family, the normal distribution and smallest extreme value distribution, are used as candidates to illustrate the best… CONTINUE READING

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