Results 201 to 210 of about 20,730 (256)

Uncertainty quantification in FEM simulation of human liver: sensitivity analysis, Gradient-Enhanced Kriging, and Monte Carlo simulation. [PDF]

Biomech Model Mechanobiol
Waschinsky N, van Meegen C, Lambers L, Ickstadt K, Ricken T.   +4 more
europepmc   +1 more source

Applying Extreme Value Theory to a Century of Ammonium Nitrate Disasters: Persistent Safety Risks in Chemical Supply Chains. [PDF]

Risk Anal
Sin G.
europepmc   +1 more source

The distribution of fitness effects of nonsynonymous mutations varies phylogenetically across animals. [PDF]

PLoS Biol
Lin M, Chakraborty S, Amorim CEG, Nigenda-Morales SF, Beichman AC, Nuñez-Valencia PG, Mah JC, Robinson JA, Kyriazis CC, Huber CD, Webb AE, Kocher SD, Archer FI, Moreno-Estrada A, Wayne RK, Lohmueller KE.   +15 more
europepmc   +1 more source

Generating geochemical and mineralogy distributions of soil in the conterminous United States using Bayesian hierarchical spatial models. [PDF]

MethodsX
Bondo KJ, Wolf TM, Walter WD.
europepmc   +1 more source

Performance analysis over q-Weibull fading channels for symbol error probability evaluation using a tighter Gaussian Q approximation. [PDF]

Sci Rep
Samal S, Chakravarty S, Mukherjee T, Panigrahi A, Pati A, Sahu B.   +5 more
europepmc   +1 more source

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Approximating Lognormal Sum Distributions With Power Lognormal Distributions

IEEE Transactions on Vehicular Technology, 2008
In 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 ...
J Almhana
exaly   +2 more sources

An optimal lognormal approximation to lognormal sum distributions

IEEE Transactions on Vehicular Technology, 2004
Sums 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
exaly   +3 more sources

Mixture Lognormal Approximations to Lognormal Sum Distributions

IEEE Communications Letters, 2007
In 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.
J Almhana
exaly   +3 more sources