Chi-Square-Type Tests for Verification of Normality

被引：0

作者：

B. Yu. Lemeshko

机构：

[1] Novosibirsk State Technical University,

来源：

Measurement Techniques | 2015年 / 58卷

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摘要：

The application of the Pearson chi-square test for verification of the normality of a sample is discussed. Tables of percentage points and models for the limiting statistical distributions are constructed. The powers of the Pearson and Nikulin–Rao–Robson chi-square tests are estimated relative to various competing hypotheses. A comparative analysis of the powers of a set of normality tests is given.

引用

页码：581 / 591

页数：10

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