期刊名称：Brazilian Journal of Probability and Statistics
印刷版ISSN：0103-0752
出版年度：2004
卷号：18
期号：1
页码：53-68
出版社：Brazilian Statistical Association
摘要：We propose a test of hypothesis for the closeness of two distri-butions whose test statistic is asymptotically normal. The divergent is basedon the estimation procedure developed in Dias (2000) using a proxy of sym-metrized Kullback-Leibler distance. Simulation results show that for mixtureof normal distributions this test is more powerful than Kolmogorov-Smirnovtest. As an application we compare acoustic data from several languages inorder to identify rhythmic classes
