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Discovering dispersion: How robust is automated model discovery for human myocardial tissue? [PDF]
Martonová D +3 more
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Computational Modeling of Patient-Specific Healing and Deformation Outcomes Following Breast-Conserving Surgery Based on MRI Data. [PDF]
Harbin Z +3 more
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Digital delivery of a 6-month home-based empowerment program improves mental health in rural adults with chronic conditions: A single-arm prospective interventional trial. [PDF]
Ilie G +3 more
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Fitting generalized Gaussian distributions for process capability index
Beelen, T.G.J. +3 more
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Three Parameter Generalized Gaussian Type Distribution
Tuijin Jishu/Journal of Propulsion Technology, 2023In this article we introduced a three parameter generalized Gaussian type distribution. The various distributional properties like probability density function, moment generating function, the central moments etc., are derived. The estimators of the parameters are also obtained through the method of moments and maximum likelihood method of estimation ...
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Circularity and Gaussianity Detection Using the Complex Generalized Gaussian Distribution
IEEE Signal Processing Letters, 2009Knowing the statistical properties of a complex-valued signal is important in many signal processing applications by providing the necessary information for choosing the appropriate algorithm. In this paper, we provide generalized likelihood ratio tests (GLRT), based on the complex generalized Gaussian distribution (CGGD), for detecting two important ...
M. Novey, T. Adali, A. Roy
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Circuits, Systems, and Signal Processing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liang, Chen, Wen, Fuxi, Wang, Zhongmin
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liang, Chen, Wen, Fuxi, Wang, Zhongmin
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On a Left Truncated Generalized Gaussian Distribution
Journal of Advanced Computing, 2015The generalized Gaussian distribution is useful in analyzing the data sets arising at places like Image processing, Signal processing, Speech recognition, Statistical Quality Control, Industrial experimentation, and Biological experiments. In this paper, a Left Truncated Generalized Gaussian distribution is introduced.
K. Anithakumari +2 more
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Generating Nonnormal Distributions via Gaussian Mixture Models
Structural Equation Modeling: A Multidisciplinary Journal, 2020The purpose of this paper is to (1) present a method of generating nonnormal univariate and/or uncorrelated multivariate distributions using mixture models, and (2) compare the accuracy of generati...
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