Conover's F test as an alternative to durbin's test
Journal of Modern Applied Statistical Methods, ISSN: 1538-9472, Vol: 13, Issue: 2, Page: 76-83
2014
- 7Citations
- 1,470Usage
- 6Captures
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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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Metrics Details
- Citations7
- Citation Indexes7
- CrossRef7
- Usage1,470
- Downloads1,208
- 1,208
- Abstract Views262
- Captures6
- Readers6
Article Description
Data consisting of ranks within blocks are considered for balanced incomplete block designs. An F test statistic from ANOVA is better approximated by an F distribution than the Durbin statistic is approximated by a chi-squared distribution. Indicative powers demonstrate that the F test is generally superior to Durbin's test.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84930355955&origin=inward; http://dx.doi.org/10.22237/jmasm/1414814580; https://jmasm.com/index.php/jmasm/article/view/721; https://digitalcommons.wayne.edu/jmasm/vol13/iss2/4; https://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=1965&context=jmasm; https://dx.doi.org/10.22237/jmasm/1414814580
The Netherlands Press
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