Title

Analysis of ranked data in randomized blocks when there are missing values

RIS ID

106224

Publication Details

Best, D. J. & Rayner, J. (2016). Analysis of ranked data in randomized blocks when there are missing values. Journal of Applied Statistics, Online First 1-8.

Abstract

Data consisting of ranks within blocks are considered for randomized block designs when there are missing values. Tied ranks are possible. Such data can be analysed using the Skillings-Mack test. Here we suggest a new approach based on carrying out an ANOVA on the ranks using the general linear model platform available in many statistical packages. Such a platform allows an ANOVA to be calculated when there are missing values. Indicative sizes and powers show the ANOVA approach performs better than the Skillings-Mack test.

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Link to publisher version (DOI)

http://dx.doi.org/10.1080/02664763.2016.1158245