RT Journal Article
T1 Likelihood divergence statistics for testing hypotheses about multiple population
A1 Morales González, Domingo
A1 Pardo Llorente, Leandro
A1 Pardo Llorente, María del Carmen
AB The problem of introducing divergence-based statistics to test composite hypotheses related to s populations is still open when sample sizes are not equal. On the basis of likelihood divergence statistics, a statistical procedure is introduced in this paper and its large sample behaviour is studied. By using Renyi divergence, the proposed statistical procedure is applied to the problem of testing for the homogeneity of several variances. Members of the family of likelihood Renyi divergence statistics are compared for power and checked for fidelity to type I error rates with some classical test statistics. Results of the Monte Carlo simulation study are discussed and presented in tables.
PB Marcel Dekker Inc
SN 0361-0918
YR 2001
FD 2001
LK https://hdl.handle.net/20.500.14352/57865
UL https://hdl.handle.net/20.500.14352/57865
DS Docta Complutense
RD 10 abr 2025