Revisit the Two Sample t-Test with a Known Ratio of Variances  

作　　者：Yongxiu She Augustine Wong Xiaofeng Zhou 

机构地区：[1]不详

出　　处：《Open Journal of Statistics》2011年第3期151-156,共6页统计学期刊（英文）

摘　　要：Inference for the difference of two independent normal means has been widely studied in staitstical literature. In this paper, we consider the case that the variances are unknown but with a known relationship between them. This situation arises frequently in practice, for example, when two instruments report averaged responses of the same object based on a different number of replicates, the ratio of the variances of the response is then known, and is the ratio of the number of replicates going into each response. A likelihood based method is proposed. Simulation results show that the proposed method is very accurate even when the sample sizes are small. Moreover, the proposed method can be extended to the case that the ratio of the variances is unknown.Inference for the difference of two independent normal means has been widely studied in staitstical literature. In this paper, we consider the case that the variances are unknown but with a known relationship between them. This situation arises frequently in practice, for example, when two instruments report averaged responses of the same object based on a different number of replicates, the ratio of the variances of the response is then known, and is the ratio of the number of replicates going into each response. A likelihood based method is proposed. Simulation results show that the proposed method is very accurate even when the sample sizes are small. Moreover, the proposed method can be extended to the case that the ratio of the variances is unknown.

关 键 词：Behrens-Fisher Problem Canonical Parameter Exponential Family Model LIKELIHOOD Based Inference Modified SIGNED Log-Likelihood RATIO Statistic Satterthwaite Method. 

分 类 号：R73[医药卫生—肿瘤]