Pardo Llorente, LeandroMartín Apaolaza, Níriam2023-06-202023-06-202009-100323-384710.1002/bimj.200800158https://hdl.handle.net/20.500.14352/42432This paper analyzes the power divergence estimators when homogeneity/heterogeneity hypotheses among Standardized mortality ratios (SMRs) are taken into account. A Monte Carlo study shows that when the standard mortality rate is not external, that is it is estimated from the Sample data, these estimators have a good performance even for small sample sets and in particular the minimum chi-square estimators have a better behavior compared to the classical maximum likelihood estimators In order to make decisions under homogeneity/heterogeneity hypotheses of SNIPS we propose Some test-statistics which consider the minimum power divergence estimators Through a numerical example focused on SMRs of melanoma mortality ratios in different regions of the US, a homogeneity/heterogeneity study IS illustratedjournal articlehttp://onlinelibrary.wiley.com/doi/10.1002/bimj.200800158/pdfhttp://onlinelibrary.wiley.com/metadata only access519.233.5Poisson SamplingIndirect Standardized Mortality RatioMultiplicative ModelLog-linear modelsRatesHeterogeneityEstadística aplicada