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

18 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

Fingerprint

All Science Journal Classification (ASJC) codes

Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Applied Mathematics

Cite this

Nath, R., & Pavur, R. (1985). A new statistic in the one-way multivariate analysis of variance. Computational Statistics and Data Analysis, 2(4), 297-315. https://doi.org/10.1016/0167-9473(85)90003-9

@article{0296fb904317444b9906170a15259fe2,

title = "A new statistic in the one-way multivariate analysis of variance",

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.",

author = "Ravinder Nath and Robert Pavur",

year = "1985",

month = feb

doi = "10.1016/0167-9473(85)90003-9",

language = "English (US)",

volume = "2",

pages = "297--315",

journal = "Computational Statistics and Data Analysis",

issn = "0167-9473",

publisher = "Elsevier",

number = "4",

}

TY - JOUR

T1 - A new statistic in the one-way multivariate analysis of variance

AU - Nath, Ravinder

AU - Pavur, Robert

PY - 1985/2

Y1 - 1985/2

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.

UR - http://www.scopus.com/inward/record.url?scp=46549099940&partnerID=8YFLogxK

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 -

Access to Document

10.1016/0167-9473(85)90003-9