165
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Comparing Nonparametric Tests of Equality of Means for Randomized Block Designs

, , , &
Pages 1718-1730 | Received 17 Dec 2012, Accepted 29 Oct 2013, Published online: 23 Apr 2016

References

  • Allingham, D., Best, D.J. (2012). Crblocks: Categorical randomized block data analysis. R package version 0.9-1.
  • Best (1993). Extended analysis for ranked data. Australian Journal of Statistics 35:257–262.
  • Best, D.J., Brockhoff, P.B., Rayner, J.C. W. (2006). Tests for balanced incomplete block ranked data with ties. Statistica Neerlandica 60:3–11.
  • Brockhoff, P.B., Best, D.J., Rayner, J.C. W. (2004). Partitioning Anderson's statistic for tied data. Journal of Statistical Planning and Inference 121:93–111.
  • Conover, W.J. (1999). Practical Nonparametric Statistics. 3rd ed. New York: Wiley.
  • Davis, C.S. (2002). Statistical Methods for the Analysis of Repeated Measurements. New York: Springer.
  • Hollander, M., Wolfe, D.A. (1999). Nonparametric Statistical Methods. 2nd ed. Chichester, New York.
  • Iman, R.L., Hora, S.C., Conover, W.J. (1984). Comparison of asymptotically distribution-free procedures for the analysis of complete blocks. Journal of the American Statistical Association 79:674–685.
  • Kepner, J.L., Robinson, D.H. (1984). A distribution-free rank test for ordered alternatives in randomized complete block designs. Journal of the American Statistical Association 79:212–217.
  • Mansouri, H. (1998). Limiting distribution of the aligned rank transform tests in balanced incomplete blocks. Journal of Statistical Planning and Inference 74:353–364.
  • Miettinen, O.S. (1969). Individual matching with multiple controls in the case of all-or-non response. Biometrics 25:339–355.
  • Rayner, J.C. W., Best, D.J. (2012). Continuous Analogues of Cochran-Mantel-Haenszel Statistics. Working Paper 12-4. Centre for Statistical and Survey Methodology, Wollongong: The University of Wollongong.
  • Steel, R.G. D., Torrie, J.H., Dickey, D.A. (1997). Principles and Procedures of Statistics. 3rd ed. New York: McGraw Hill.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.