Approximate statistical limits for a gamma distribution

Piao Chen, Zhi Sheng Ye

Research output: Contribution to journalArticleScientificpeer-review

29 Citations (Scopus)


This study develops methods for constructing some important statistical limits of a gamma distribution. First, we construct upper prediction limits and tolerance limits for a gamma distribution. In addition, upper prediction limits for at least p of m measurements from a gamma distribution at each of r locations are constructed. This problem often arises in the field of environmental monitoring, as well as quality control. For each problem discussed in this study, the inferential procedure based on the generalized fiducial method is outlined and a simulation is conducted to assess its performance. Real data are used to demonstrate the proposed methods. In addition to the prediction and tolerance limits, our proposed methods can also be applied to the stress-strength problem involving two independent gamma random variables. Our investigation shows that the proposed methods perform uniformly well and they outperform existing methods.

Original languageEnglish
Pages (from-to)64-77
JournalJournal of Quality Technology
Issue number1
Publication statusPublished - 1 Jan 2017
Externally publishedYes


  • Coverage Probability
  • Fiducial Inference
  • Prediction Limits
  • Stress-Strength
  • Tolerance Limits


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