A more powerful test for comparing two Poisson means

被引：113

作者：

Krishnamoorthy, K ^{[1
]}

Thomson, J ^{[1
]}

机构：

[1] Univ Louisiana, Dept Math, Lafayette, LA 70504 USA

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 2004年 / 119卷 / 01期

关键词：

binomial distribution; exact power; exact size; parametric bootstrap; Poisson distribution; sample size calculation; standardized difference;

D O I：

10.1016/S0378-3758(02)00408-1

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The problem of hypothesis testing about two Poisson means is addressed. The usual conditional test (C-test) and a test based on estimated p-values (E-test) are considered. The exact properties of the tests are evaluated numerically. Numerical studies indicate that the E-test is almost exact because its size seldom exceeds the nominal level, and it is more powerful than the C-test. Power calculations for both tests are outlined. The test procedures are illustrated using two examples. (C) 2002 Elsevier B.V. All rights reserved.

引用

页码：23 / 35

页数：13

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