Abstract
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.
DOI
10.22237/jmasm/1414814580
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
