Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153319 | Statistics & Probability Letters | 2016 | 9 Pages |
Abstract
The Bartlett-type adjustment is a higher-order asymptotic method for reducing the errors of the chi-squared approximations to the null distributions of various test statistics, which ensures that the resulting test has size α+o(Nâ1), where 0<α<1 is the significance level and N is the sample size. Recently, Kakizawa (2012) has revisited the Chandra-Mukerjee/Taniguchi adjustments in a unified way, since Chandra and Mukerjee (1991) and Taniguchi (1991b) originally considered the test of the simple null hypothesis, except for Mukerjee (1992). This paper considers a generalization of the adjustment due to Cordeiro and Ferrari (1991).
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Yoshihide Kakizawa,