Title :
An application of Hellinger distance: Hypothesis testing for two continuous populations
Author_Institution :
Sch. of Math. Sci., Huaiyin Normal Univ., Huaian, China
Abstract :
Our interest is in the problem where independent samples are drawn from two different Continuous populations, possibly with a common parameter. The goal is to test hypothesis about the parameters involved in these two samples. Test statistics are developed for the above purpose based on the Hellinger distance. The asymptotic distributions of the test statistics are derived. Necessary simulation data for demonstrating the conclusion which is derived in this paper is provided.
Keywords :
statistical distributions; statistical testing; Hellinger distance; asymptotic distribution; continuous population; test statistics; Manganese; Testing; Hellinger distance; Hypothesis testing; maximum likelihood estimator; minimum Hellinger distance estimator;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658519
