文章基本信息

标题：A New Test for Multivariate Ordered Alternatives: Medical Application and Geometric Interpretation
本地全文：下载
作者：Abouzar Bazyari ; Mahmoud Afshari
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2018
卷号：14
期号：3
页码：557-570
DOI：10.18187/pjsor.v14i3.2178
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：In the present paper, the geometric interpretation and medical application of ordered one-sided hypothesis testing are presented. We consider tests for the hypothesis that the mean vectors are zero against one-sided alternatives when the observation vectors are independently and identically distributed as normal with known and unknown covariance matrices. This problem is an extension of Kudo (1963) and Glimm et al. (2002) to several multivariate normal distributions. When the covariance matrices are known, the test statistic is derived and we give suitable conditions which under the one-sided restricted alternative hypothesis the obtained estimator is the maximum likelihood estimate. We shall discuss a geometric interpretation of the test statistic based on the closed convex polyhedral cone and also obtain its null distribution in the special case. Also, when the covariance matrices are unknown and common a proper test statistic is proposed. To evaluate the results, the effect of a drug is investigated on the body of one-day babies for suspected Sepsis disease.
其他关键词：Geometric interpretation;Medical application;Ordered mean vectors;Polyhedral cone;Sepsis disease