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Simultaneous Analysis of Variance Tests Using Friedman's χ Statistics
Authors:D R Jensen
Abstract:This study develops simultaneous tests for shifts in marginal distributions pertaining to complete two-way multivariate data not having Gaussian errors. Gerig's (1969) statistics based on ranks are used, a special case yielding Friedman's (1937) χurn:x-wiley:03233847:media:BIMJ4710300504:tex2gif-stack-3 Statistics statistics for the one-dimensional marginal distributions. Exact α-level procedures are not now available. Instead, approximate but conservative tests are constructed using available tables together with suitable probability inequalities. A variational result permits unlimited tests even when these are suggested by the data. The procedures are illustrated using data from field studies with peanuts; some extensions are noted; and selected percentage points are provided to support some of the tests.
Keywords:Nonparametrics  Multivariate rank tests  Simultaneous inference  Probability inequalities
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