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texto impreso
We consider the Useful Informational Energy introduced by L. Pardo [5]. Our purpose is to study the asymptotic distribution of its analogue estimator, in a random and stratified sampling, as well as its application to testing hypotheses.texto impreso
Pardo Llorente, Julio Ángel ; Pardo Llorente, María del Carmen ; Vicente, M.L. ; Esteban, M.D. | Springer | 1995On the basis of the informational energy an alternative test of homogeneity of variances in samples from normal populations is developed. In addition, several of the more well known statistics for performing this type of analysis and the new tes[...]texto impreso
Esteban, M.D. ; Pardo Llorente, Julio Ángel ; Pardo Llorente, María del Carmen ; Vicente, M.L. | Emerald Group Publishing Limited | 1995Several coefficients, called divergences, have been suggested in the statistical literature to reflect the fact that some probability distributions are ''closer together'' than others and consequently that it may be easier to distinguish between[...]texto impreso
Pardo Llorente, Julio Ángel ; Pardo Llorente, María del Carmen ; Vicente, M.L. ; Esteban, M.D. | Elsevier Science | 1997-06-05On the basis of the informational energy an alternative test of homogeneity of variances in samples from normal populations is developed. In addition, several of the more well-known statistics for performing this type of analysis and the new tes[...]texto impreso
Consideration is given to the problem of optimally choosing of a fixed number of experiments in sequential form from a class of available experiments. The applications of phi entropy measure in the sequential design of experiments is studied by [...]
