A study of the robustness of the sequential tests for the parameters of an inverse Gaussian distribution with known coefficient of variation

被引：0
|
作者：
Pande, M. K. [1 ]
Bhatt, S. [1 ]
Surinder, K. [1 ]
机构：
[1] Kumaun Univ, Dept Stat, Naini Tal 263002, India
来源：
INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2007年 / 3卷 / 02期
关键词：
inverse Gaussian distribution; sequential probability ratio tests; coefficient of variation; operating characteristic and average sample number function; robustness;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
Robustness of the sequential probability ratio tests is studied for the parameters of an inverse Gaussian distribution, assuming the coefficient of variation to be known. In respect of the operating characteristic and average sample number functions, robustness of the proposed sequential procedures are studied. In this situation, it is found that the sequential probability ratio tests are highly non-robust when the coefficient of variation has undergone a change.
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页码：413 / 420
页数：8
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