Estimation and tests of the discrete probability law based on the empirical generating function, (two dimensional case).
J. D. Chergui (1994)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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Displaying similar documents to “Some results for the quadratic analysis of Gaussian processes and applications”
Estimation and tests of the discrete probability law based on the empirical generating function, (two dimensional case).
A new intrinsic construction of the gaussian measure in ; with application
Jean-Louis Philoche (1992)
Annales scientifiques de l'Université de Clermont. Mathématiques
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Estimation functions and uniformly most powerful tests for inverse Gaussian distribution
Ion Vladimirescu, Radu Tunaru (2003)
Commentationes Mathematicae Universitatis Carolinae
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The aim of this article is to develop estimation functions by confidence regions for the inverse Gaussian distribution with two parameters and to construct tests for hypotheses testing concerning the parameter when the mean parameter is known. The tests constructed are uniformly most powerful tests and for testing the point null hypothesis it is also unbiased.
Gaussian measures on spaces, 0 ≤ p < ∞
T. Byczkowski (1977)
Studia Mathematica
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Large deviations for sample paths of Gaussian processes quadratic variations.
Perrin, O., Zani, M. (2005)
Zapiski Nauchnykh Seminarov POMI
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A regression characterization of inverse Gaussian distributions and application to EDF goodness-of-fit tests.
Dinh, Khoan T., Nguyen, Nhu T., Nguyen, Truc T. (2003)
International Journal of Mathematics and Mathematical Sciences
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Gaussian approximations of multiple integrals.
Peccati, Giovanni (2007)
Electronic Communications in Probability [electronic only]
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