Pardo Llorente, María del CarmenVicente Hernanz, María LinaEsteban Lefler, María DoloresPardo Llorente, Julio Ángel2023-06-202023-06-2019970361-091810.1080/03610919708813406https://hdl.handle.net/20.500.14352/57853In this paper we consider the problem of testing hypotheses in parametric models, when only the first r (of n) ordered observations are known.Using divergence measures, a procedure to test statistical hypotheses is proposed, Replacing the parameters by suitable estimators in the expresion of the divergence measure, the test statistics are obtained.Asymptotic distributions for these statistics are given in several cases when maximum likelihood estimators for truncated samples are considered.Applications of these results in testing statistical hypotheses, on the basis of truncated data, are presented.The small sample behavior of the proposed test statistics is analyzed in particular cases.A comparative study of power values is carried out by computer simulation.journal articlehttp://www.tandfonline.com/doi/abs/10.1080/03610919708813406?journalCode=lssp20http://www.tandfonline.com/metadata only access519.22Divergence measureAsymptotic distributionCensored observationsTesting statistical hypothesesPower functionComputer simulationEstadística matemática (Matemáticas)1209 Estadística