Conover, WJ. The rank transformation—an easy and intuitive way to connect many nonparametric methods to their parametric counterparts for seamless teaching introductory statistics courses. WIREs Comput Stat 2012, 2012:432–438. doi: 10.1002/wics.1216.
Akritas, MG. The rank transform method in some two‐factor designs. J Am Stat Assoc 1990, 85:73–78.
Akritas, MG, Arnold, SF. Fully nonparametric hypotheses for factorial designs I: Multivariate repeated‐measures designs. J Am Stat Assoc 1994, 89:336–343.
Akritas, MG, Brunner, E. A unified approach to ranks tests in mixed models. J Stat Plan Infer 1997, 61:249–277.
Brunner, E, Puri, ML. Nonparametric methods in factorial designs. Stat Papers 2001, 42:1–52.
Brunner, E, Munzel, U, Puri, ML. Rank‐score tests in factorial designs with repeated measures. J Multiv Anal 1999, 70:286–317.
Brunner, E, Puri, ML. A class of rank‐score tests in factorial designs. J Stat Plan Infer 2002, 103:331–360.
Lemmer, HH. Some empirical results on the two‐way analysis of variance by ranks. Commun Stat Theor Methods 1980, 14:1427–1438.
Brunner, E, Neumann, N. Rank tests in 2 × 2 designs. Stat Neerl 1986, 40:251–271.
Fligner, MA, Policello, GE II. Robust rank procedures for the Behrens–Fisher problem. J Am Stat Assoc 1981, 76:162–168.
Brunner, E, Munzel, U. The nonparametric Behrens‐Fisher‐Problem: asymptotic theory and a small sample approximation. Biom J 2000, 42:17–25.
Ruymgaart, FH. A unified approach to the asymptotic distribution theory of certain midrank statistics. In: Raoult, JP, ed. Statistique Non Parametrique Asymptotique. Lecture Notes on Mathematics, vol. 821. Berlin: Springer; 1980, 1–18.
Akritas, MG, Arnold, SF, Brunner, E. Nonparametric hypotheses and rank statistics for unbalanced factorial designs. J Am Stat Assoc 1997, 92:258–265.
Munzel, U. Linear rank score statistics when ties are present. Stat Probabil Lett 1999, 41:389–395.