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Survival of Continuous Ambulatory Peritoneal Dialysis Patients Increases in the Early Years of Dialysis: Comparison of Parametric Frailty Survival Models. [PDF]
Najafimehr H +7 more
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IEEE Transactions on Vehicular Technology, 2015
Modeling the variations in the local mean received power, the shadow fading is a relatively understudied effect in the literature. The inaccuracy of the universally accepted lognormal model is shown in many works. However, proposing other statistical distributions, such as gamma, which are not stemmed from the natural underlying physical process ...
Saliha Buyukcorak +2 more
openaire +3 more sources
Modeling the variations in the local mean received power, the shadow fading is a relatively understudied effect in the literature. The inaccuracy of the universally accepted lognormal model is shown in many works. However, proposing other statistical distributions, such as gamma, which are not stemmed from the natural underlying physical process ...
Saliha Buyukcorak +2 more
openaire +3 more sources
Lognormal and Mixed Gaussian–Lognormal Kalman Filters
Monthly Weather Review, 2023Abstract In this paper we present the derivation of two new forms of the Kalman filter equations; the first is for a pure lognormally distributed random variable, while the second set of Kalman filter equations will be for a combination of Gaussian and lognormally distributed random variables.
Steven J. Fletcher +8 more
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Lognormal Distribution of Local Strain: A Universal Law of Plastic Deformation in Material.
Physical Review Letters, 2020Given the infinite diversity of microstructural inhomogeneity, the variation in spatial distribution of local strain could be infinite. However, this study finds that the statistical distribution of local strain universally follows a lognormal ...
Ao Tang +7 more
semanticscholar +1 more source
Mixture Lognormal Approximations to Lognormal Sum Distributions
IEEE Communications Letters, 2007In wireless communication, co-channel interference is usually characterized by a sum of lognormal random variables. Since calculating the exact distribution of a lognormal sum has a lot of challenges, lognormal distributions are often used to approximate lognormal sum distributions.
Z. Liu, J. Almhana, F. Wang, R. Mcgorman
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Ship Detection in SAR Images Based on Lognormal $\rho$ -Metric
IEEE Geoscience and Remote Sensing Letters, 2018Information geometry emerged from the study of the geometrical structure of a manifold of probability distributions. It defines a Riemannian metric uniquely, which is Fisher information metric. However, the classical Fisher metric method has a limitation
Meng-Hsien Yang, Chunsheng Guo
semanticscholar +1 more source
Journal of Applied Probability, 1981
Models have been proposed in many diverse areas to generate a lognormal distribution and the underlying idea has always been some form of the law of proportionate effect. In a sense any model must resemble this recipe: take logs and apply the central limit theorem. Our model is no exception. However our formulation is designed to encompass the previous
Brown, Gavin, Sanders, J. W.
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Models have been proposed in many diverse areas to generate a lognormal distribution and the underlying idea has always been some form of the law of proportionate effect. In a sense any model must resemble this recipe: take logs and apply the central limit theorem. Our model is no exception. However our formulation is designed to encompass the previous
Brown, Gavin, Sanders, J. W.
openaire +2 more sources
An Optimal Lognormal Approximation to Lognormal Sum Distributions
IEEE Transactions on Vehicular Technology, 2004Sums of lognormal random variables occur in many problems in wireless communications because signal shadowing is well modeled by the lognormal distribution. The lognormal sum distribution is not known in the closed form and is difficult to compute numerically.
N.C. Beaulieu, Q. Xie
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