Multiple Comparisons with More than One Control for Exponential Location Parameters Under Heteroscedasticity

In this article, the design-oriented two-stage and data analysis one-stage multiple comparison procedures for comparing several two-parameter exponential populations with more than one control population under heteroscedasticity are proposed. One-sided and two-sided simultaneous confidence intervals are also given. Upper limits of critical values are obtained using the recent techniques given in Lam (1987, 1988). These approximate critical values are shown to have better results than the approximate critical values using the Bonferroni inequality developed in this article. The multiple comparisons of test treatments with the best control are also developed. Finally, the application of the proposed procedures is illustrated with an example.

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