How Robust Is the Two-Sample Triangular Sequential T-Test Against Variance Heterogeneity?

被引:0
作者
Rasch, Dieter [1 ]
Yanagida, Takuya [2 ]
机构
[1] Univ Nat Resources & Life Sci, Vienna, Austria
[2] Univ Appl Sci Upper Austria, Vienna, Austria
来源
STATISTICS AND SIMULATION, IWS 8 2015 | 2018年 / 231卷
关键词
Comparing expectations; t test; Welch test; Triangular sequential t-test; Unequal variances;
D O I
10.1007/978-3-319-76035-3_19
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Reference (Rasch, Kubinger and Moder (2011b). Stat. Pap. 52, 219-231.) [4] showed that in case that nothing is known about the two variances it is better to use the approximate Welch test instead of the two-sample t-test for comparing means of two continuous distributions with existing first two moments. An analogue approach for the triangular sequential t test is not possible because it is based on the first two derivatives of the underlying likelihood functions. Extensive simulations have been done and are reported in this chapter. It is shown that the two-sample triangular sequential t test in most interesting cases holds the type I and type II risks when variances are unequal.
引用
收藏
页码:273 / 282
页数:10
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