Morales González, DomingoPardo Llorente, LeandroPardo Llorente, María del Carmen2023-06-202023-06-2020010361-091810.1081/SAC-100107785https://hdl.handle.net/20.500.14352/57865The 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.journal articlehttp://www.tandfonline.com/doi/abs/10.1081/SAC-100107785http://www.tandfonline.com/metadata only access519.72Renyi divergencelikelihood divergence statisticstesting hypotheseshomogeneity of variancesmultiple populationdistributions.Estadística aplicada