Results 241 to 250 of about 104,920 (275)
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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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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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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.
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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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Approximating Lognormal Sum Distributions With Power Lognormal Distributions
IEEE Transactions on Vehicular Technology, 2008In wireless communications, cochannel interference is usually characterized by a sum of lognormal random variables. Since the characteristic function of a lognormal distribution lacks explicit expression, and numerical calculation of a lognormal sum distribution is very challenging, lognormal distributions are often used to approximate lognormal sum ...
Z. Liu, J. Almhana, R. McGorman
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Analysis of lognormal survival data
Mathematical Biosciences, 1997The failure rate and the mean residual life function (MRLF) of a lognormal distribution are known to be nonmonotonic. It is of interest to study the point at which the monotonicity changes (the change point). In this article we study the change points of the failure rate and the MRLF for the lognormal distribution.
Gupta, Ramesh C. +2 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
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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
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Tests for normality versus lognormality
Communications in Statistics, 1975In applied statistics two of the most widely used distributions for continuous random variables are the normal and the lognormal. In this paper we consider the problem of selecting one of these two distributions. Each distribution is allowed to have unknown location and scale parameters and the lognormal has an unknown shape parameter in addition ...
Klimko, L. A. +2 more
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Journal of Hydrologic Engineering, 2002
The lognormal distribution is frequently used in hydrological studies. However, the distribution is in the form of an integral that cannot be expressed in the form of elementary functions. Thus, the lognormal distribution cannot be used for analytical purposes such as the application of the inverse transform method for generation of a sequence of ...
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The lognormal distribution is frequently used in hydrological studies. However, the distribution is in the form of an integral that cannot be expressed in the form of elementary functions. Thus, the lognormal distribution cannot be used for analytical purposes such as the application of the inverse transform method for generation of a sequence of ...
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Lognormal vs. Gamma: Extra Variations
Biometrical Journal, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, Hoon +2 more
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