New one-stage multiple comparison procedures with the average for exponential location parameters under heteroscedasticity

ABSTRACT

In this paper, we present new one-stage multiple comparison procedures with the average for location parameters of two-parameter exponential distributions under heteroscedasticity by modifying the existing one proposed by Wu One stage multiple comparisons with the average for exponential location parameters under heteroscedasticity. Comput Stat Data Anal. 2013;68:352–360] with unequal sample sizes. A simulation study is done and the results show that the proposed procedures have shorter confidence length with coverage probabilities closer to the nominal ones. At last, an example of comparing the survival days of patients for four categories of lung cancer is given to demonstrate the proposed procedures.