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 |
|---|---|
| Pages (from-to) | 297-315 |
| Number of pages | 19 |
| Journal | Computational Statistics and Data Analysis |
| Volume | 2 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1985 |
| Externally published | Yes |
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All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Statistics, Probability and Uncertainty
- Electrical and Electronic Engineering
- Computational Mathematics
- Numerical Analysis
- Statistics and Probability
Cite this
A new statistic in the one-way multivariate analysis of variance. / Nath, Ravinder; Pavur, Robert.
In: Computational Statistics and Data Analysis, Vol. 2, No. 4, 1985, p. 297-315.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A new statistic in the one-way multivariate analysis of variance
AU - Nath, Ravinder
AU - Pavur, Robert
PY - 1985
Y1 - 1985
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=46549099940&partnerID=8YFLogxK
U2 - 10.1016/0167-9473(85)90003-9
DO - 10.1016/0167-9473(85)90003-9
M3 - Article
AN - SCOPUS:46549099940
VL - 2
SP - 297
EP - 315
JO - Computational Statistics and Data Analysis
JF - Computational Statistics and Data Analysis
SN - 0167-9473
IS - 4
ER -