Abstract
Data consisting of ranks within blocks are considered for randomized complete block layouts where treatment effects are expected to be ordered. Ranks with and without ties are considered, as well as missing values. A small indicative test size study indicates both a new test and the Page test, modified by Thas et al. (2012) to easily permit ties, perform well. An advantage of the new test is that it can be easily applied to data with missing values. Three real examples are given. One of these illustrates a quadratic trend test. Comparisons between the new test and the Alvo and Cabilio (1995) extended Page test for missing values are given.
Similar content being viewed by others
References
Alvo, M., and P. Cabilio. 1995. Testing ordered alternatives in the presence of incomplete data. J. Am. Stat. Assoc., 90, 1015–1024.
Bickel, P. J., and K. A. Dobson. 1977. Mathematical statistics. San Francisco, CA: Holden-Day.
Brockhoff, P. B., D. J. Best, and J. C. W. Rayner. 2004. Partitioning Anderson’s statistic for tied data. J. Stat. Plan. Inference, 121, 93–111.
Cabilio, P., and J. Peng. 2008. Multiple rank based testing for ordered alternatives with incomplete data. Stat. Probability Lett., 78, 2609–2613.
Conover, W. J. 1999. Practical nonparametric statistics (3rd ed.). New York, NY: Wiley.
Davis, C. S. 2002. Statistical methods for the analysis of repeated measurements. New York, NY: Springer.
Kuehl, R. O. 2000. Design of experiments: Statistical principles of research design and analysis. Pacific Grove, CA: Duxbury Press.
Page, E. 1963. Ordered hypotheses for multiple treatments: A significance test for linear ranks. J. Am. Stat. Assoc., 58, 216–230.
Thas, O., D. J. Best, and J. C. W. Rayner. 2012. Using orthogonal trend contrasts for testing ranked data with ordered alternatives. Stat. Neerland., 66(4), 452–471.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Best, D.J., Rayner, J.C.W. An Alternative to Page’s Test Permitting Both Tied and Missing Data. J Stat Theory Pract 9, 524–536 (2015). https://doi.org/10.1080/15598608.2014.940098
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1080/15598608.2014.940098