Chi-Square-Type Tests for Verification of Normality
Measurement Techniques, ISSN: 1573-8906, Vol: 58, Issue: 6, Page: 581-591
2015
- 4Citations
- 8Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84944705262&origin=inward; http://dx.doi.org/10.1007/s11018-015-0759-2; http://link.springer.com/10.1007/s11018-015-0759-2; http://link.springer.com/content/pdf/10.1007/s11018-015-0759-2; http://link.springer.com/content/pdf/10.1007/s11018-015-0759-2.pdf; http://link.springer.com/article/10.1007/s11018-015-0759-2/fulltext.html; https://dx.doi.org/10.1007/s11018-015-0759-2; https://link.springer.com/article/10.1007/s11018-015-0759-2
Springer Science and Business Media LLC
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