Results 1 to 10 of about 49 (47)
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Izvestiya, Atmospheric and Oceanic Physics, 2008
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Vul'fson, A. N., Borodin, O. O.
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Vul'fson, A. N., Borodin, O. O.
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Journal of Statistical Planning and Inference, 2009
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Communications in Statistics - Simulation and Computation, 2008
For normally distributed data, the asymptotic bias and skewness of the pivotal statistic Studentized by the asymptotically distribution-free standard error are shown to be the same as those given by the normal theory in structural equation modeling. This gives the same asymptotic null distributions of the two pivotal statistics up to the next order ...
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For normally distributed data, the asymptotic bias and skewness of the pivotal statistic Studentized by the asymptotically distribution-free standard error are shown to be the same as those given by the normal theory in structural equation modeling. This gives the same asymptotic null distributions of the two pivotal statistics up to the next order ...
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Asymptotically Normal Estimators for the Parameters of the Gamma-Exponential Distribution
Currently, much research attention has focused on generalizations of known mathematical objects in order to obtain adequate models describing real phenomena.
Alexey Kudryavtsev, Oleg Shestakov
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Minimum Renyi’s pseudodistance estimators (MRPEs) enjoy good robustness properties without a significant loss of efficiency in general statistical models, and, in particular, for linear regression models (LRMs). In this line, Castilla et al.
María Jaenada, Leandro Pardo
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Exact Permutation and Bootstrap Distribution of Generalized Pairwise Comparisons Statistics
To analyze multivariate outcomes in clinical trials, several authors have suggested generalizations of the univariate Mann–Whitney test. As the Mann–Whitney statistic compares the subjects’ outcome pairwise, the multivariate generalizations are known as ...
William N. Anderson, Johan Verbeeck
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Functional data analysis has important applications in biomedical, health studies and other areas. In this paper, we develop a general framework for a mean curve estimation for functional data using a reproducing kernel Hilbert space (RKHS) and derive ...
Ming Xiong +4 more
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