Article ID Journal Published Year Pages File Type
1153319 Statistics & Probability Letters 2016 9 Pages PDF
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(N−1), 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).
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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