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Communications in Statistics - Simulation and Computation Volume 39, 2010 - Issue 6
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Original Articles

Nonparametric Tests for Mixed Designs

Rhonda Magel Department of Statistics, North Dakota State University, Fargo, North Dakota, USACorrespondence[email protected]
,
Jeff Terpstra Department of Statistics, North Dakota State University, Fargo, North Dakota, USA
,
Katrina Canonizado Department of Statistics, North Dakota State University, Fargo, North Dakota, USA
&
Ja In Park Department of Statistics, North Dakota State University, Fargo, North Dakota, USA
Pages 1228-1250 | Received 01 Jul 2009, Accepted 28 Apr 2010, Published online: 24 Jun 2010
 
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Abstract

This article proposes tests for testing the equality of k-medians when the data are a mixture of a randomized complete block, a completely randomized design, and possibly an incomplete block (or blocks) design. The proposed tests are compared to the Friedman test when just the randomized complete block portion of observations is kept. Two tests are also developed for the umbrella alternative with known turning point for a mixed design. The two proposed tests are compared to each other and a test just for the randomized complete block portion (Kim and Kim, Citation1992). Results are given.

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