Bootstrap graphical test for equality of variances

Authors

  • Naveen Kumar Boiroju Department of Statistics, Osmania University, Hyderabad, India-500 007
  • Ramu Yerukala Department of Statistics, Osmania University, Hyderabad, India -500 007
  • M Venugopala Rao Department of statistics, Osmania University, Hyderabad, India 500 007
  • M Krishna Reddy Professor, Department of Statistics, Osmania University, Hyderabad, India 500 007

DOI:

https://doi.org/10.1285/i20705948v4n2p184

Keywords:

Bootstrap method, Bartlett test, Levene test, Variance.

Abstract

Testing hypothesis about variance parameters arises in contexts where uniformity is important and also in relation to checking assumptions as a preliminary to analysis of variance, discriminant analysis and so forth. In this paper, a bootstrap graphical method is developed as an alternative to the Bartlett and Levene tests to test the hypothesis on equality of several variances. An example is given to demonstrate the advantage of bootstrap graphical procedure over the Bartlett and Levene tests from decision making point of view.

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Published

14-10-2011

Issue

Vol. 4 No. 2 (2011): Electronic Journal of Applied Statistical Analysis (With papers inspired by the Conference "AGROSTAT 2010").

Section

Short Note

License

Authors who publish with EJASA agree to the  Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License.