Nonparametric tests for data in randomised blocks with Ordered alternatives

J. C. W. Rayner, D. J. Best
1999 Journal of Applied Mathematics and Decision Sciences  
For randomized block designs, nonparametric treatment comparisons are usually made using the Friedman test for complete designs, and the Durbin test for incomplete designs; see, for example, Conover (1998). This permits assessment of only the mean rankings. Such comparisons are here extended to permit assessments of bivariate effects such as the linear by linear effect and the quadratic by linear, or umbrella effect.
doi:10.1155/s1173912699000073 fatcat:gpfsll5v6zdoldq5rq5nvw7ooi