Our method is not a simulation-based inference procedure and our results show that the proposed SCIs have some advantages over others.
📌 3 Key Takeaways
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Objective & Hypothesis:Several researchers have addressed the problem of constructing simultaneous confidence intervals (SCIs) for comparing exponential location parameters with a control or controls under heteroscedasticity when sample sizes are equal or unequal.
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Key Findings & Data:They usually used simulation-based inference procedures or Lam's technique that leads to conservative SCIs.
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Conclusion & Impact:Our method is not a simulation-based inference procedure and our results show that the proposed SCIs have some advantages over others.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Average volume · Coverage probability · Conservative
Abstract
Several researchers have addressed the problem of constructing simultaneous confidence intervals (SCIs) for comparing exponential location parameters with a control or controls under heteroscedasticity when sample sizes are equal or unequal. They usually used simulation-based inference procedures or Lam's technique that leads to conservative SCIs. In this paper, we present a set of SCIs for comparing exponential location parameters with a control, controls and the best control under heteroscedasticity when sample sizes are possibly unequal. Our method is not a simulation-based inference procedure and our results show that the proposed SCIs have some advantages over others.
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