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A nonparametric test for scale in univariate population two-sample setup

  • Sunil Mathur(corresponding author)
    ,
  • Samuel Dolo
*Corresponding author for this work
  • University of Mississippi
Scholary Output:
Contribution to journal
Article
Research
Peer-review

Abstract

A new method is proposed for testing the equality of two populations in a scale model. The power of the proposed test is compared using the Monte Carlo simulation technique with the Siegel-Tukey test [26], the Klotz score test [16], and Levene's test [18]. Simulation studies show that the proposed test performs better than Siegel-Tukey's test, the Klotz score test, and Levene's test under almost all the distributions considered in the study. We calculate the asymptotic relative efficiency of the proposed test. We apply the proposed test to a real life situation.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Research
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 145-152 (8 pages)

Journal (Volume, Issue Number)

Model Assisted Statistics and Applications (Volume 2, Issue 3)

Publication milestones

  • Published - 2007

Publication status

Published - 2007

ISSN

1574-1699

Publication IDs

  • Scopus: 42049121880

Publication metrics

Metrics

Scopus
citations
SciVal
Author count
2
SciVal
Paper percentile
25
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
1