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Original Articles

A Monte Carlo study of rank tests for block designs

Pages 601-620 | Received 01 Sep 1986, Published online: 27 Jun 2007

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Read on this site (13)

Roy St. Laurent & Philip Turk. (2013) The Effects of Misconceptions on the Properties of Friedman's Test. Communications in Statistics - Simulation and Computation 42:7, pages 1596-1615.
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Rosa Arboretti Giancristofaro, Livio Corain & Susanna Ragazzi. (2012) A Comparison among Combination-Based Permutation Statistics for Randomized Complete Block Design. Communications in Statistics - Simulation and Computation 41:7, pages 964-979.
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. (2000) Book Reviews. Journal of the American Statistical Association 95:449, pages 327-349.
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ScottJ. Richter. (1999) Nearly exact tests in factorial experiments using the aligned rank transform. Journal of Applied Statistics 26:2, pages 203-217.
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L.H. Kao & S. Chakraborti. (1998) Nonparametric procedures for comparing treatments with a control in a randomized complete block design. Communications in Statistics - Theory and Methods 27:3, pages 687-704.
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JamesL. Kepner & DennisD. Wackerly. (1996) On Rank Transformation Techniques for Balanced Incomplete Repeated-Measures Designs. Journal of the American Statistical Association 91:436, pages 1619-1625.
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Denis Larocque & Serge Tardif. (1995) Development of an optimal test based on weighted rankings. Communications in Statistics - Simulation and Computation 24:2, pages 367-383.
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JosephW. McKean & ThomasJ. Vidmar. (1994) A Comparison of Two Rank-Based Methods for the Analysis of Linear Models. The American Statistician 48:3, pages 220-229.
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. (1994) Analysis of means using ranks for the randomized complete block design. Communications in Statistics - Simulation and Computation 23:2, pages 547-568.
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Richard Fawcett & Penny Stewart. (1993) Sweeping, alignment and the analysis of unbalanced data. Communications in Statistics - Theory and Methods 22:12, pages 3453-3471.
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Michael D Ernst & James l Kepner. (1993) A monte carlo study of rank tests for repeated measures designs. Communications in Statistics - Simulation and Computation 22:3, pages 671-678.
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K. C. Salter & R. F Fawcett. (1993) The art test of interaction: a robust and powerful rank test of interaction in factorial models. Communications in Statistics - Simulation and Computation 22:1, pages 137-153.
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RichardF. Fawcett. (1990) The Alignment Method for Displaying and Analyzing Treatments in Blocking Designs. The American Statistician 44:3, pages 204-209.
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Articles from other publishers (8)

Ziyad R. Mahfoud & Ronald H. Randles. (2005) Practical tests for randomized complete block designs. Journal of Multivariate Analysis 96:1, pages 73-92.
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Ronald C. Serlin & Michael R. Harwell. (2004) More Powerful Tests of Predictor Subsets in Regression Analysis Under Nonnormality.. Psychological Methods 9:4, pages 492-509.
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Thomas W. O’Gorman. (2001) A comparison of the F-test, Friedman’s test, and several aligned rank tests for the analysis of randomized complete blocks. Journal of Agricultural, Biological, and Environmental Statistics 6:3, pages 367-378.
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Larry E. Toothaker & De Newman. (2016) Nonparametric Competitors to the Two-Way ANOVA. Journal of Educational Statistics 19:3, pages 237-273.
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Michael R. Harwell & Ronald C. Serlin. (1994) A Monte Carlo study of the Friedman test and some competitors in the single factor, repeated measures design with unequal covariances. Computational Statistics & Data Analysis 17:1, pages 35-49.
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Michael R. Harwell, Elaine N. Rubinstein, William S. Hayes & Corley C. Olds. (2016) Summarizing Monte Carlo Results in Methodological Research: The One- and Two-Factor Fixed Effects ANOVA Cases. Journal of Educational Statistics 17:4, pages 315-339.
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. 1992. Statistical Methods in Water Resources. Statistical Methods in Water Resources 433 449 .
Shlomo S. Sawilowsky. (2016) Nonparametric Tests of Interaction in Experimental Design. Review of Educational Research 60:1, pages 91-126.
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