Journal of Advanced Statistics

Download PDF (458.1 KB) PP. 10 - 15 Pub. Date: March 1, 2017

DOI: 10.22606/jas.2017.21002

• Jiajuan Liang^*
  College of Business, University of New Haven, West Haven, Connecticut, U.S.A.

The theory of spherical distributions is employed to develop a generalized F-test for testing the mean of a subfamily of elliptically contoured distributions. The exact null distribution of the generalized F-test is obtained. The power performance of the generalized F-test is illustrated by choosing several distributions in the subfamily of elliptically contoured distributions. The Monte Carlos study shows that the generalized F-test is not sensitive to the increase of sample dimension. The generalized F-test is applicable to the case of any dimension with any sample size. An analysis on a real dataset in financial models illustrates possible applications of the proposed tests.

Elliptically contoured distribution; generalized F-test; high dimension; spherically symmetric distribution.

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