A new statistic in the one-way multivariate analysis of variance

Ravinder Nath; Robert Pavur

doi:10.1016/0167-9473(85)90003-9

A new statistic in the one-way multivariate analysis of variance

Ravinder Nath, Robert Pavur

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

In the multivariate one-way analysis of variance a test statistic based solely on the rank orders of the data is proposed. In the two group case the statistic simplifies to a test of Puri and Sen [19]. Monte Carlo simulation techniques are used to evaluate the performance of the test statistic under various distributions. These evaluation include the simulated significance levels and power functions. By the nature of the proposed test it is evident that the new procedure is easier to implement than other existing rank based tests.

Original language	English (US)
Pages (from-to)	297-315
Number of pages	19
Journal	Computational Statistics and Data Analysis
Volume	2
Issue number	4
DOIs	https://doi.org/10.1016/0167-9473(85)90003-9
State	Published - Feb 1985
Externally published	Yes

All Science Journal Classification (ASJC) codes

Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Applied Mathematics

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10.1016/0167-9473(85)90003-9

Cite this

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A new statistic in the one-way multivariate analysis of variance

Abstract

All Science Journal Classification (ASJC) codes

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