Balakrishnan, N.Martin, N.Pardo Llorente, Leandro2023-06-172023-06-1720171863-817110.1007/s10182-017-0289-0https://hdl.handle.net/20.500.14352/17865Empirical phi-divergence test statistics have demostrated to be a useful technique for the simple null hypothesis to improve the finite sample behavior of the classical likelihood ratio test statistic, as well as for model misspecification problems, in both cases for the one population problem. This paper introduces this methodology for two-sample problems. A simulation study illustrates situations in which the new test statistics become a competitive tool with respect to the classical z test and the likelihood ratio test statistic.spajournal articlehttps://link.springer.com/article/10.1007/s10182-017-0289-0https://link.springer.com/open access519.22Empirical likelihoodEmpirical phi-divergence test statisticsPhi-divergence measuresPower functionEstadística matemática (Matemáticas)1209 Estadística