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Extension of the Wald statistic to models with dependent observations
Authors:D. Morales  L. Pardo  M. C. Pardo  I. Vajda
Affiliation:(1) Operations Research Center, Miguel Hernández University of Elche, Elche,;(2) Department of Statistics & O. R., Complutense University of Madrid, 28040 Madrid, Spain, ES;(3) Institute of Information Theory, Academy of Sciences of the Czech Republic, Prague, CZ
Abstract:A generalization of the Wald statistic for testing composite hypotheses is suggested for dependent data from exponential models which include Lévy processes and diffusion fields. The generalized statistic is proved to be asymptotically chi-squared distributed under regular composite hypotheses. It is simpler and more easily available than the generalized likelihood ratio statistic. Simulations in an example where the latter statistic is available show that the generalized Wald test achieves higher average power than the generalized likelihood ratio test. Received: February 29, 2000
Keywords:: Composite parametric hypotheses   Generalized likelihood ratio statistic   Generalized Wald statistic   Convergent exponential models   Lévy processes   Diffusion fields
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